| boston dynamics robot programming language: Legged Robots that Balance Marc H. Raibert, 1986 This book, by a leading authority on legged locomotion, presents exciting engineering and science, along with fascinating implications for theories of human motor control. It lays fundamental groundwork in legged locomotion, one of the least developed areas of robotics, addressing the possibility of building useful legged robots that run and balance. The book describes the study of physical machines that run and balance on just one leg, including analysis, computer simulation, and laboratory experiments. Contrary to expectations, it reveals that control of such machines is not particularly difficult. It describes how the principles of locomotion discovered with one leg can be extended to systems with several legs and reports preliminary experiments with a quadruped machine that runs using these principles. Raibert's work is unique in its emphasis on dynamics and active balance, aspects of the problem that have played a minor role in most previous work. His studies focus on the central issues of balance and dynamic control, while avoiding several problems that have dominated previous research on legged machines. Marc Raibert is Associate Professor of Computer Science and Robotics at Carnegie-Mellon University and on the editorial board of The MIT Press journal, Robotics Research. Legged Robots That Balanceis fifteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady. |
| boston dynamics robot programming language: Robot Programming by Demonstration Sylvain Calinon, 2009-08-24 Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods. |
| boston dynamics robot programming language: Learn Robotics Programming Danny Staple, 2021-02-12 Develop an extendable smart robot capable of performing a complex series of actions with Python and Raspberry Pi Key Features Get up to speed with the fundamentals of robotic programming and build intelligent robots Learn how to program a voice agent to control and interact with your robot's behavior Enable your robot to see its environment and avoid barriers using sensors Book Description We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you'll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming. The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you'll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You'll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you'll understand how you can apply the skills that you've learned to visualize, lay out, build, and code your future robot building projects. By the end of this book, you'll have built an interesting robot that can perform basic artificial intelligence operations and be well versed in programming robots and creating complex robotics projects using what you've learned. What you will learn Leverage the features of the Raspberry Pi OS Discover how to configure a Raspberry Pi to build an AI-enabled robot Interface motors and sensors with a Raspberry Pi Code your robot to develop engaging and intelligent robot behavior Explore AI behavior such as speech recognition and visual processing Find out how you can control AI robots with a mobile phone over Wi-Fi Understand how to choose the right parts and assemble your robot Who this book is for This second edition of Learn Robotics Programming is for programmers, developers, and robotics enthusiasts who want to develop a fully functional robot and leverage AI to build interactive robots. Basic knowledge of the Python programming language will help you understand the concepts covered in this robot programming book more effectively. |
| boston dynamics robot programming language: Software Engineering for Robotics Ana Cavalcanti, Brijesh Dongol, Rob Hierons, Jon Timmis, Jim Woodcock, 2021-07-05 The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world. A final chapter summarizes issues on ethics and regulation based on discussions from a panel of experts. The origin of this book is a two-day event, entitled RoboSoft, that took place in November 2019, in London. Organized with the generous support of the Royal Academy of Engineering and the University of York, UK, RoboSoft brought together more than 100 scientists, engineers and practitioners from all over the world, representing 70 international institutions. The intended readership includes researchers and practitioners with all levels of experience interested in working in the area of robotics, and software engineering more generally. The chapters are all self-contained, include explanations of the core concepts, and finish with a discussion of directions for further work. Chapters 'Towards Autonomous Robot Evolution', 'Composition, Separation of Roles and Model-Driven Approaches as Enabler of a Robotics Software Ecosystem' and 'Verifiable Autonomy and Responsible Robotics' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| boston dynamics robot programming language: Learn Robotics with Raspberry Pi Matt Timmons-Brown, 2019-01-22 In Learn Robotics with Raspberry Pi, you'll learn how to build and code your own robot projects with just the Raspberry Pi microcomputer and a few easy-to-get components - no prior experience necessary! Learn Robotics with Raspberry Pi will take you from inexperienced maker to robot builder. You'll start off building a two-wheeled robot powered by a Raspberry Pi minicomputer and then program it using Python, the world's most popular programming language. Gradually, you'll improve your robot by adding increasingly advanced functionality until it can follow lines, avoid obstacles, and even recognize objects of a certain size and color using computer vision. Learn how to: - Control your robot remotely using only a Wii remote - Teach your robot to use sensors to avoid obstacles - Program your robot to follow a line autonomously - Customize your robot with LEDs and speakers to make it light up and play sounds - See what your robot sees with a Pi Camera As you work through the book, you'll learn fundamental electronics skills like how to wire up parts, use resistors and regulators, and determine how much power your robot needs. By the end, you'll have learned the basics of coding in Python and know enough about working with hardware like LEDs, motors, and sensors to expand your creations beyond simple robots. |
| boston dynamics robot programming language: The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue Matthew Spenko, Stephen Buerger, Karl Iagnemma, 2018-04-09 The DARPA Robotics Challenge was a robotics competition that took place in Pomona, California USA in June 2015. The competition was the culmination of 33 months of demanding work by 23 teams and required humanoid robots to perform challenging locomotion and manipulation tasks in a mock disaster site. The challenge was conceived as a response to the Japanese Fukushima nuclear disaster of March 2011. The Fukushima disaster was seen as an ideal candidate for robotic intervention since the risk of exposure to radiation prevented human responders from accessing the site. This volume, edited by Matthew Spenko, Stephen Buerger, and Karl Iagnemma, includes commentary by the organizers, overall analysis of the results, and documentation of the technical efforts of 15 competing teams. The book provides an important record of the successes and failures involved in the DARPA Robotics Challenge and provides guidance for future needs to be addressed by policy makers, funding agencies, and the robotics research community. Many of the papers in this volume were initially published in a series of special issues of the Journal of Field Robotics. We have proudly collected versions of those papers in this STAR volume. |
| boston dynamics robot programming language: The Robotics Primer Maja J. Mataric, 2007-08-17 A broadly accessible introduction to robotics that spans the most basic concepts and the most novel applications; for students, teachers, and hobbyists. The Robotics Primer offers a broadly accessible introduction to robotics for students at pre-university and university levels, robot hobbyists, and anyone interested in this burgeoning field. The text takes the reader from the most basic concepts (including perception and movement) to the most novel and sophisticated applications and topics (humanoids, shape-shifting robots, space robotics), with an emphasis on what it takes to create autonomous intelligent robot behavior. The core concepts of robotics are carried through from fundamental definitions to more complex explanations, all presented in an engaging, conversational style that will appeal to readers of different backgrounds. The Robotics Primer covers such topics as the definition of robotics, the history of robotics (“Where do Robots Come From?”), robot components, locomotion, manipulation, sensors, control, control architectures, representation, behavior (“Making Your Robot Behave”), navigation, group robotics, learning, and the future of robotics (and its ethical implications). To encourage further engagement, experimentation, and course and lesson design, The Robotics Primer is accompanied by a free robot programming exercise workbook that implements many of the ideas on the book on iRobot platforms. The Robotics Primer is unique as a principled, pedagogical treatment of the topic that is accessible to a broad audience; the only prerequisites are curiosity and attention. It can be used effectively in an educational setting or more informally for self-instruction. The Robotics Primer is a springboard for readers of all backgrounds—including students taking robotics as an elective outside the major, graduate students preparing to specialize in robotics, and K-12 teachers who bring robotics into their classrooms. |
| boston dynamics robot programming language: ROBOTICS NARAYAN CHANGDER, 2023-10-18 THE ROBOTICS MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE ROBOTICS MCQ TO EXPAND YOUR ROBOTICS KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
| boston dynamics robot programming language: Modular Programming Languages Jürg Gutknecht, Wolfgang Weck, 2006-12-31 Thecircleisclosed.The European Modula-2 Conference was originally launched with the goal of increasing the popularity of Modula-2, a programming language created by Niklaus Wirth and his team at ETH Zuric ̈ h as a successor of Pascal. For more than a decade, the conference has wandered through Europe, passing Bled,Slovenia,in1987,Loughborough,UK,in1990,Ulm,Germany,in1994,and Linz, Austria, in 1997. Now, at the beginning of the new millennium, it is back at its roots in Zuric ̈ h, Switzerland. While traveling through space and time, the conference has mutated. It has widened its scope and changed its name to Joint Modular Languages Conference (JMLC). With an invariant focus, though, on modularsoftwareconstructioninteaching,research,and“outthere”inindustry. This topic has never been more important than today, ironically not because of insu?cient language support but, quite on the contrary, due to a truly c- fusing variety of modular concepts o?ered by modern languages: modules, pa- ages, classes, and components, the newest and still controversial trend. “The recent notion of component is still very vaguely de?ned, so vaguely, in fact, that it almost seems advisable to ignore it.” (Wirth in his article “Records, Modules, Objects, Classes, Components” in honor of Hoare’s retirement in 1999). Clar- cation is needed. |
| boston dynamics robot programming language: Large Language Models Oswald Campesato, 2024-10-02 This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher. |
| boston dynamics robot programming language: Industrial Robots Programming J. Norberto Pires, 2007-04-03 Industrial Robots Programming focuses on designing and building robotic manufacturing cells, and explores the capabilities of today’s industrial equipment as well as the latest computer and software technologies. Special attention is given to the input devices and systems that create efficient human-machine interfaces, and how they help non-technical personnel perform necessary programming, control, and supervision tasks. Drawing upon years of practical experience and using numerous examples and illustrative applications, J. Norberto Pires covers robotics programming as it applies to: The current industrial robotic equipment including manipulators, control systems, and programming environments. Software interfaces that can be used to develop distributed industrial manufacturing cells and techniques which can be used to build interfaces between robots and computers. Real-world applications with examples designed and implemented recently in the lab. Industrial Robots Programming has been selected for indexing by Scopus. For more information about Industrial Robotics, please find the author's Industrial Robotics collection at the iTunesU University of Coimbra channel. |
| boston dynamics robot programming language: Computational Cognition Roland Hausser, 2023-10-02 Modern science is divided into three parts: natural sciences, engineering sciences and humanities. Over the last millennia, natural and engineering sciences evolved a symbiotic relationship, but humanities still stand apart. Today, however, designing and building a talking robot is a comparatively new challenge for which all three branches are needed. Starting from the idea that designing a theory of computational cognition should be as complete as possible, and trying to answer questions such as “Which ontology is required for building a computational cognition?”, the current book integrates interfaces, components, functional flows, data structure, database schema, and algorithms into a coherent system with an extensive range of cognitive functions, and constitutes the background to the book “Ontology of Communication” recently published by the author (Springer, 2023). Part I discusses ontological distinctions between a sign-based and an agent-based approach, and continues with explanations of the data structure, the content-addressable database schema; the time-linear derivations of the speak and the hear mode; resonating content; induction, deduction, and abduction in inferencing, and concludes with a reconstruction of eight classical syllogisms as a test suite for DBS inferencing in the think mode. Part II complements the literal use of language in the speak and hear mode with a reconstruction of syntactic mood adaptations and figurative use. The database schema of DBS is shown to lend itself not only to the tasks of traditional storage and retrieval, but also of reference, coreference, shadowing, coactivation of resonating content, and selective activation. Part III complements the treatment of individual topics in linguistics, philosophy, and cognitive psychology with an overall software structure in the form of three interacting main components, called the interface, the memory, and the production component. |
| boston dynamics robot programming language: Behavior Trees in Robotics and AI Michele Colledanchise, Petter Ögren, 2018-07-20 Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background. |
| boston dynamics robot programming language: Computer Vision Simon J. D. Prince, 2012-06-18 A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. |
| boston dynamics robot programming language: Information Technology Innovation National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Panel on Artificial Intelligence, Committee on Depicting Innovation in Information Technology, 2020-11-30 Information technology (IT) is widely understood to be the enabling technology of the 21st century. IT has transformed, and continues to transform, all aspects of our lives: commerce and finance, education, energy, health care, manufacturing, government, national security, transportation, communications, entertainment, science, and engineering. IT and its impact on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow in size and importance. IT’s impacts on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow. IT enabled innovation and advances in IT products and services draw on a deep tradition of research and rely on sustained investment and a uniquely strong partnership in the United States among government, industry, and universities. Past returns on federal investments in IT research have been extraordinary for both U.S. society and the U.S. economy. This IT innovation ecosystem fuels a virtuous cycle of innovation with growing economic impact. Building on previous National Academies work, this report describes key features of the IT research ecosystem that fuel IT innovation and foster widespread and longstanding impact across the U.S. economy. In addition to presenting established computing research areas and industry sectors, it also considers emerging candidates in both categories. |
| boston dynamics robot programming language: Automate or Be Automated David Vivancos, 2020-04-08 The world is moving towards a jobless society (maybe not incomeless), ruled by intelligent machines, this can be a painful scenario for most of us or it can be an opportunity for all to thrive, getting rid of repetitive tasks and freeing our time to grow. Learn the tricks of automation before it is too late and let’s rebuild together the partially de-globalized world during and in the aftermath of the Covid-19 Outbreak. |
| boston dynamics robot programming language: The Birth of Computer Vision James E. Dobson, 2023-04-04 A revealing genealogy of image-recognition techniques and technologies Today’s most advanced neural networks and sophisticated image-analysis methods come from 1950s and ’60s Cold War culture—and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today. James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision–related aspects of Frank Rosenblatt’s Perceptron as the crucial link between machine learning and computer vision. Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins. Cover alt text: Two overlapping circles in cream and violet, with black background. Top is a printed circuit with camera eye; below a person at a 1977 computer. |
| boston dynamics robot programming language: Rigid Body Dynamics Algorithms Roy Featherstone, 2014-11-10 Rigid Body Dynamics Algorithms presents the subject of computational rigid-body dynamics through the medium of spatial 6D vector notation. It explains how to model a rigid-body system and how to analyze it, and it presents the most comprehensive collection of the best rigid-body dynamics algorithms to be found in a single source. The use of spatial vector notation greatly reduces the volume of algebra which allows systems to be described using fewer equations and fewer quantities. It also allows problems to be solved in fewer steps, and solutions to be expressed more succinctly. In addition algorithms are explained simply and clearly, and are expressed in a compact form. The use of spatial vector notation facilitates the implementation of dynamics algorithms on a computer: shorter, simpler code that is easier to write, understand and debug, with no loss of efficiency. |
| boston dynamics robot programming language: Robot Vision A. Pugh, 2013-06-29 Over the past five years robot vision has emerged as a subject area with its own identity. A text based on the proceedings of the Symposium on Computer Vision and Sensor-based Robots held at the General Motors Research Laboratories, Warren, Michigan in 1978, was published by Plenum Press in 1979. This book, edited by George G. Dodd and Lothar Rosso!, probably represented the first identifiable book covering some aspects of robot vision. The subject of robot vision and sensory controls (RoViSeC) occupied an entire international conference held in the Hilton Hotel in Stratford, England in May 1981. This was followed by a second RoViSeC held in Stuttgart, Germany in November 1982. The large attendance at the Stratford conference and the obvious interest in the subject of robot vision at international robot meetings, provides the stimulus for this current collection of papers. Users and researchers entering the field of robot vision for the first time will encounter a bewildering array of publications on all aspects of computer vision of which robot vision forms a part. It is the grey area dividing the different aspects of computer vision which is not easy to identify. Even those involved in research sometimes find difficulty in separating the essential differences between vision for automated inspection and vision for robot applications. Both of these are to some extent applications of pattern recognition with the underlying philosophy of each defining the techniques used. |
| boston dynamics robot programming language: Robotics Research Georges Giralt, Gerhard Hirzinger, 2012-12-06 This publication covers all the topics which are relevant to Advanced Robotics today, ranging from Systems Design to Reasoning and Planning. It is based on the Seventh International Symposium on Robotics Research held in Germany on October, 21 - 24th, 1995. The papers were written by specialists in the field from the United States, Europe, Japan, Australia and Canada. The editors, who also chaired this symposium, present the latest research results as well as new approaches to long standing problems. Robotics Research is a contribution to the emerging concepts, methods and tools that shape Robotics. The papers range from pure research reports to application-oriented studies. The topics covered include: manipulation, control, virtual reality, motion planning, 3D vision and industrial systems' issues. |
| boston dynamics robot programming language: The Hand, an Organ of the Mind Zdravko Radman, 2013-05-10 Theoretical and empirical accounts of the interconnectedness between the manual and the mental suggest that the hand can be understood as a cognitive instrument. Cartesian-inspired dualism enforces a theoretical distinction between the motor and the cognitive and locates the mental exclusively in the head. This collection, focusing on the hand, challenges this dichotomy, offering theoretical and empirical perspectives on the interconnectedness and interdependence of the manual and mental. The contributors explore the possibility that the hand, far from being the merely mechanical executor of preconceived mental plans, possesses its own know-how, enabling enhanded beings to navigate the natural, social, and cultural world without engaging propositional thought, consciousness, and deliberation. The contributors consider not only broad philosophical questions—ranging from the nature of embodiment, enaction, and the extended mind to the phenomenology of agency—but also such specific issues as touching, grasping, gesturing, sociality, and simulation. They show that the capacities of the hand include perception (on its own and in association with other modalities), action, (extended) cognition, social interaction, and communication. Taken together, their accounts offer a handbook of cutting-edge research exploring the ways that the manual shapes and reshapes the mental and creates conditions for embodied agents to act in the world. Contributors Matteo Baccarini, Andrew J. Bremner, Massimiliano L. Cappuccio, Andy Clark, Jonathan Cole, Dorothy Cowie, Natalie Depraz, Rosalyn Driscoll, Harry Farmer, Shaun Gallagher, Nicholas P. Holmes, Daniel D. Hutto, Angelo Maravita, Filip Mattens, Richard Menary, Jesse J. Prinz, Zdravko Radman, Matthew Ratcliffe, Etiennne B. Roesch, Stephen V. Shepherd, Susan A.J. Stuart, Manos Tsakiris, Michael Wheeler |
| boston dynamics robot programming language: The Restless Clock Jessica Riskin, 2016-03-10 A core principle of modern science holds that a scientific explanation must not attribute will or agency to natural phenomena. The Restless Clock examines the origins and history of this, in particular as it applies to the science of living things. This is also the story of a tradition of radicals--dissenters who embraced the opposite view, that agency is an essential and ineradicable part of nature. Beginning with the church and courtly automata of early modern Europe, Jessica Riskin guides us through our thinking about the extent to which animals might be understood as mere machines. We encounter fantastic robots and cyborgs as well as a cast of scientific and philosophical luminaries, including Descartes and Leibnitz, Lamarck and Darwin, whose ideas gain new relevance in Riskin's hands. The book ends with a riveting discussion of how the dialectic continues in genetics, epigenetics, and evolutionary biology, where work continues to naturalize different forms of agency. The Restless Clock reveals the deeply buried roots of current debates in artificial intelligence, cognitive science, and evolutionary biology. |
| boston dynamics robot programming language: Data Science with Raspberry Pi K. Mohaideen Abdul Kadhar, G. Anand, 2021-06-25 Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You’ll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you’ll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You’ll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you’ll understand that many applications are now dependent upon cloud computing. As Raspberry Pis are cheap, it is easy to use a number of them closer to the sensors gathering the data and restrict the analytics closer to the edge. You’ll find that not only is the Pi an easy entry point to data science, it also provides an elegant solution to cloud computing limitations through localized deployment. What You Will Learn Interface the Raspberry Pi with sensors Set up the Raspberry Pi as a localized cloud Tackle data science concepts with Python on the Pi Who This Book Is For Data scientists who are looking to implement real-time applications using the Raspberry Pi as an edge device and localized cloud. Readers should have a basic knowledge in mathematics, computers, and statistics. A working knowledge of Python and the Raspberry Pi is an added advantage. |
| boston dynamics robot programming language: Computational Principles of Mobile Robotics Gregory Dudek, Michael Jenkin, 2010-07-26 This textbook for advanced undergraduates and graduate students emphasizes algorithms for a range of strategies for locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. This edition includes advances in robotics and intelligent machines over the ten years prior to publication, including significant coverage of SLAM (simultaneous localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various mathematical techniques that were assumed in the first edition are now briefly introduced in appendices at the end of the text to make the book more self-contained. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies. |
| boston dynamics robot programming language: Springer Handbook of Robotics Bruno Siciliano, Oussama Khatib, 2016-07-27 The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organization’s Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbook’s team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app. Springer Handbook of Robotics Multimedia Extension Portal: http://handbookofrobotics.org/ |
| boston dynamics robot programming language: Mastering ROS for Robotics Programming Lentin Joseph, 2015-12-21 Design, build and simulate complex robots using Robot Operating System and master its out-of-the-box functionalities About This Book Develop complex robotic applications using ROS for interfacing robot manipulators and mobile robots with the help of high end robotic sensors Gain insights into autonomous navigation in mobile robot and motion planning in robot manipulators Discover the best practices and troubleshooting solutions everyone needs when working on ROS Who This Book Is For If you are a robotics enthusiast or researcher who wants to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book will also be good for programmers who want to explore the advanced features of ROS. What You Will Learn Create a robot model of a Seven-DOF robotic arm and a differential wheeled mobile robot Work with motion planning of a Seven-DOF arm using MoveIt! Implement autonomous navigation in differential drive robots using SLAM and AMCL packages in ROS Dig deep into the ROS Pluginlib, ROS nodelets, and Gazebo plugins Interface I/O boards such as Arduino, Robot sensors, and High end actuators with ROS Simulation and motion planning of ABB and Universal arm using ROS Industrial Explore the ROS framework using its latest version In Detail The area of robotics is gaining huge momentum among corporate people, researchers, hobbyists, and students. The major challenge in robotics is its controlling software. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book discusses the advanced concepts in robotics and how to program using ROS. It starts with deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. After discussing robot manipulation and navigation in robots, you will get to grips with the interfacing I/O boards, sensors, and actuators of ROS. One of the essential ingredients of robots are vision sensors, and an entire chapter is dedicated to the vision sensor, its interfacing in ROS, and its programming. You will discuss the hardware interfacing and simulation of complex robot to ROS and ROS Industrial (Package used for interfacing industrial robots). Finally, you will get to know the best practices to follow when programming using ROS. Style and approach This is a simplified guide to help you learn and master advanced topics in ROS using hands-on examples. |
| boston dynamics robot programming language: Robot Dynamics And Control Mark W Spong, M. Vidyasagar, 2008-08-04 This self-contained introduction to practical robot kinematics and dynamics includes a comprehensive treatment of robot control. It provides background material on terminology and linear transformations, followed by coverage of kinematics and inverse kinematics, dynamics, manipulator control, robust control, force control, use of feedback in nonlinear systems, and adaptive control. Each topic is supported by examples of specific applications. Derivations and proofs are included in many cases. The book includes many worked examples, examples illustrating all aspects of the theory, and problems. |
| boston dynamics robot programming language: Service Robotics within the Digital Home Ignacio González Alonso, Mercedes Fernández, José M. Maestre, María del Pilar Almudena García Fuente, 2011-06-27 This book provides the reader with a clear and precise description of robotics and other systems for home automation currently on the market, and discusses their interoperability and perspectives for the near future. It shows the different standards and the development platforms used by the main service robots in an international environment. This volume provides a scientific basis for the user who is looking for the best option to suit his or her needs from the available alternatives to integrate modern technology in the digital home. |
| boston dynamics robot programming language: The Coming Age of Robots George Pettinico, George R. Milne, 2020-06-01 This book provides an in-depth look at how American consumers will react to the significant social, economic and marketplace changes that will be brought about by the robot revolution. Over the next twenty years, the presence of robots will dramatically increase in our daily lives. Robots will serve as maids, gardeners, companions, waiters, security guards, nurses, teachers, playmates, receptionists, chauffeurs and prostitutes – to name only a few roles they will assume. These robots will be intelligent, autonomous, communicative, emotional, and continually progressing in their abilities. This book provides an in-depth look at how American consumers will react to the significant social, economic and marketplace changes that will be brought about by the robot revolution. Our insights come from national surveys of over 2,700 Americans, as well as a thorough review of existing academic research and expert predictions. We provide suggestions for publically-acceptable robot roles, robot design and the optimal marketplace approaches for successful human-robot interactions. Ready or not, it’s coming. And sooner than you might think. |
| boston dynamics robot programming language: A Mathematical Introduction to Robotic Manipulation Richard M. Murray, 2017-12-14 A Mathematical Introduction to Robotic Manipulation presents a mathematical formulation of the kinematics, dynamics, and control of robot manipulators. It uses an elegant set of mathematical tools that emphasizes the geometry of robot motion and allows a large class of robotic manipulation problems to be analyzed within a unified framework. The foundation of the book is a derivation of robot kinematics using the product of the exponentials formula. The authors explore the kinematics of open-chain manipulators and multifingered robot hands, present an analysis of the dynamics and control of robot systems, discuss the specification and control of internal forces and internal motions, and address the implications of the nonholonomic nature of rolling contact are addressed, as well. The wealth of information, numerous examples, and exercises make A Mathematical Introduction to Robotic Manipulation valuable as both a reference for robotics researchers and a text for students in advanced robotics courses. |
| boston dynamics robot programming language: The Cambridge Handbook of Computing Education Research Sally A. Fincher, Anthony V. Robins, 2019-02-13 This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry. |
| boston dynamics robot programming language: Artificial Intelligence and Robotics Peter J. Bentley, 2020-09-08 An expert introduction to the fascinating world of robotics, artificial intelligence, and how machines learn. In Artificial Intelligence and Robotics: Ten Short Lessons, leading expert Peter J. Bentley breaks down the fast-moving world of computers into ten pivotal lessons, presenting the reader with the essential information they need to get to understand our most powerful technology and its remarkable implications for our species. From the origins and motivation behind the birth of AI and robotics to using smart algorithms that allow us to build good robots, from the technologies that enable computers to understand a huge range of sensory information, including language and communication, to the challenges of emotional intelligence, unpredictable environments, and imagination in artificial intelligence, this is a cutting-edge, expert-led guide for curious minds. Packed full of easy-to-understand diagrams, pictures, and fact boxes, these ten lessons cover all the basics, as well as the latest understanding and developments, to enlighten the nonscientist. About the series: The Pocket Einstein series is a collection of essential pocket-sized guides for anyone looking to understand a little more about some of the most important and fascinating areas of science in the twenty-first century. Broken down into ten simple lessons and written by leading experts in their field, the books reveal the ten most important takeaways from those areas of science you've always wanted to know more about. |
| boston dynamics robot programming language: The Cloud Revolution Mark P. Mills, 2021-11-02 The conventional wisdom on how technology will change the future is wrong. Mark Mills lays out a radically different and optimistic vision for what’s really coming. The mainstream forecasts fall into three camps. One considers today as the “new normal,” where ordering a ride or food on a smartphone or trading in bitcoins is as good as it’s going to get. Another foresees a dystopian era of widespread, digitally driven job- and business-destruction. A third believes that the only technological revolution that matters will be found with renewable energy and electric cars. But according to Mills, a convergence of technologies will instead drive an economic boom over the coming decade, one that historians will characterize as the “Roaring 2020s.” It will come not from any single big invention, but from the confluence of radical advances in three primary technology domains: microprocessors, materials, and machines. Microprocessors are increasingly embedded in everything. Materials, from which everything is built, are emerging with novel, almost magical capabilities. And machines, which make and move all manner of stuff, are undergoing a complementary transformation. Accelerating and enabling all of this is the Cloud, history’s biggest infrastructure, which is itself based on the building blocks of next-generation microprocessors and artificial intelligence. We’ve seen this pattern before. The technological revolution that drove the great economic expansion of the twentieth century can be traced to a similar confluence, one that was first visible in the 1920s: a new information infrastructure (telephony), new machines (cars and power plants), and new materials (plastics and pharmaceuticals). Single inventions don’t drive great, long-cycle booms. It always takes convergent revolutions in technology’s three core spheres—information, materials, and machines. Over history, that’s only happened a few times. We have wrung much magic from the technologies that fueled the last long boom. But the great convergence now underway will ignite the 2020s. And this time, unlike any previous historical epoch, we have the Cloud amplifying everything. The next long boom starts now. |
| boston dynamics robot programming language: Artificial Intelligence and Robotics Huimin Lu, 2020-11-10 This book provides insights into research in the field of artificial intelligence in combination with robotics technologies. The integration of artificial intelligence and robotic technologies is a highly topical area for researchers and developers from academia and industry around the globe, and it is likely that artificial intelligence will become the main approach for the next generation of robotics research. The tremendous number of artificial intelligence algorithms and big data solutions has significantly extended the range of potential applications for robotic technologies, and has also brought new challenges for the artificial intelligence community. Sharing recent advances in the field, the book features papers by young researchers presented at the 4th International Symposium on Artificial Intelligence and Robotics 2019 (ISAIR2019), held in Daegu, Korea, on August 20–24, 2019. |
| boston dynamics robot programming language: Programming Robots with ROS Morgan Quigley, Brian Gerkey, William D. Smart, 2015-11-16 Chapter 3. Topics; Publishing to a Topic; Checking That Everything Works as Expected; Subscribing to a Topic; Checking That Everything Works as Expected; Latched Topics; Defining Your Own Message Types; Defining a New Message; Using Your New Message; When Should You Make a New Message Type?; Mixing Publishers and Subscribers; Summary; Chapter 4. Services; Defining a Service; Implementing a Service; Checking That Everything Works as Expected; Other Ways of Returning Values from a Service; Using a Service; Checking That Everything Works as Expected; Other Ways to Call Services; Summary. |
| boston dynamics robot programming language: Learn Robotics Programming Danny Staple, 2018-11-29 Gain experience of building a next-generation collaboration robot Key FeaturesGet up and running with the fundamentals of robotic programmingProgram a robot using Python and the Raspberry Pi 3Learn to build a smart robot with interactive and AI-enabled behaviorsBook Description We live in an age where the most difficult human tasks are now automated. Smart and intelligent robots, which will perform different tasks precisely and efficiently, are the requirement of the hour. A combination of Raspberry Pi and Python works perfectly when making these kinds of robots. Learn Robotics Programming starts by introducing you to the basic structure of a robot, along with how to plan, build, and program it. As you make your way through the book, you will gradually progress to adding different outputs and sensors, learning new building skills, and writing code for interesting behaviors with sensors. You’ll also be able to update your robot, and set up web, phone, and Wi-Fi connectivity in order to control it. By the end of the book, you will have built a clever robot that can perform basic artificial intelligence (AI) operations. What you will learnConfigure a Raspberry Pi for use in a robotInterface motors and sensors with a Raspberry PiImplement code to make interesting and intelligent robot behaviorsUnderstand the first steps in AI behavior such as speech recognition visual processingControl AI robots using Wi-FiPlan the budget for requirements of robots while choosing partsWho this book is for Learn Robotics Programming is for programmers, developers, and enthusiasts interested in robotics and developing a fully functional robot. No major experience required just some programming knowledge would be sufficient. |
| boston dynamics robot programming language: Algorithms and Law Martin Ebers, Susana Navas, 2020-07-23 Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology. |
| boston dynamics robot programming language: Robot Analysis and Control H. Asada, J.-J. E. Slotine, 1991-01-16 Introduces the basic concepts of robot manipulation--the fundamental kinematic and dynamic analysis of manipulator arms, and the key techniques for trajectory control and compliant motion control. Material is supported with abundant examples adapted from successful industrial practice or advanced research topics. Includes carefully devised conceptual diagrams, discussion of current research topics with references to the latest publications, and end-of-book problem sets. Appendixes. Bibliography. |
| boston dynamics robot programming language: Robotics Abstracts , 1990 |
| boston dynamics robot programming language: The Science of Science Fiction Matthew Brenden Wood, 2017-02-20 Early science fiction imagined a world with space travel, video calls, and worldwide access to information, things we now know as NASA’s human spaceflight program, Skype, and the Internet. What next? Could we really bring back the dinosaurs, travel to a distant star, or live on Mars? In The Science of Science Fiction, readers ages 12 to 15 explore the science behind classic and modern science fiction stories, including artificial intelligence, androids, and the search for alien life. They learn how cutting edge concepts, including time dilation and genetic manipulation, influence today’s fiction. The Science of Science Fiction promotes critical thinking skills through inquiry, discovery, research, analysis, and reflection of key scientific ideas and concepts made popular by many titles in science fiction. Each chapter features informative sidebars and video and website links for an in-depth look at key topics. Science-minded experiments include a simple demonstration of artificial gravity using a bucket of water and calculating the speed of light using chocolate in a microwave. This variety of resources ensures the material is accessible to students with diverse learning styles. |
Boston Dynamics Robot Programming Language
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Boston Dynamics Atlas Robot - User Manual Search Engine
Welcome to the Boston Dynamics ATLAS Robot Software and Control Manual. This manual will give you an overview of the Atlas robot software, guide you through the use of the Atlas Robot …
3D SLAM and Motion Planning using Boston Dynamics Spot
Spot is an autonomous four-legged robot designed by Boston Dynamics. It is equipped with several 3D cameras to offer a complete 360° view of its environment. With its freely …
Boston Dynamics Robot Programming Language (book)
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Boston Dynamics Robot Programming Language
boston dynamics robot programming language: Legged Robots that Balance Marc H. Raibert, 1986 This book, by a leading authority on legged locomotion, presents exciting engineering …
C H A P T E R Robot programming languages and systems
3. Robot library for a new general-purpose language. These robot program-ming languages have been developed by first creating a new general-purpose language as a programming base and …
BOSTON DYNAMICS - challenges.robotevents.com
Boston Dynamics focus on designing the robot and working on it well, as happens with the Vex teams. We can add a new work within Boston Dynamic that combines more with VEX, also …
Introduction to Robotics - GitHub Pages
What is a Robot? •A robot is a machine capable of carrying out a complex series of actions automatically (Wikipedia) •A goal-oriented machine that can sense, plan and act •A robot …
The PETMAN and Atlas Robots at Boston Dynamics - Springer
In 2008, Boston Dynamics began the development of a series of humanoid robots. The goal was to build bipeds with advanced mobility and dexterity. Our first bipeds, the PETMAN robots, …
Human-Robot-Interaction and Motion Planning using Boston …
Spot, an autonomous quadrupedal robot developed by Boston Dynamics, features a programmable software interface that enables automation of tasks like mapping and …
Boston Dynamics Robot Programming Language (2024)
Boston Dynamics Robot Programming Language: Legged Robots that Balance Marc H. Raibert,1986 This book by a leading authority on legged locomotion presents exciting …
Autonomous Behavior Planning For Humanoid Loco …
To lever-age the power of LLMs towards humanoid loco-manipulation, we propose a novel language-model based framework that enables robots to autonomously plan behaviors and …
Boston Dynamics Robot Programming Language (PDF)
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Spot® Terms and Conditions of Sale - Boston Dynamics
Congratulations on your decision to purchase Spot®, our premiere industrial quadruped robot, or Spot® payloads, software, accessories or services! We are excited to provide you with this …
Boston Dynamics Robot Programming Language
detailed description available for Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects. Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the …
Boston Dynamics Robot Programming Language
boston dynamics robot programming language: Large Language Models Oswald Campesato, 2024-10-02 This book begins with an overview of the Generative AI landscape, distinguishing …
Boston Dynamics Robot Programming Language
Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the concepts of behavior-based programming through text, programming examples, and a unique online simulator robot …
Boston Dynamics Robot Programming Language
detailed description available for Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects. Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the …
Boston Dynamics Robot Programming Language Full PDF
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Boston Dynamics Robot Programming Language
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Boston Dynamics Atlas Robot - User Manual Search Engine
Welcome to the Boston Dynamics ATLAS Robot Software and Control Manual. This manual will give you an overview of the Atlas robot software, guide you through the use of the Atlas Robot …
Benchmarking and Workload Analysis of Robot Dynamics …
In this paper, we (i) survey current state-of-the-art software implementations of the key rigid body dynamics algorithms (RBDL, Pinocchio, Rigid-BodyDynamics.jl, and RobCoGen), (ii) establish …
3D SLAM and Motion Planning using Boston Dynamics Spot
Spot is an autonomous four-legged robot designed by Boston Dynamics. It is equipped with several 3D cameras to offer a complete 360° view of its environment. With its freely …
Boston Dynamics Robot Programming Language (book)
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Boston Dynamics Robot Programming Language
boston dynamics robot programming language: Legged Robots that Balance Marc H. Raibert, 1986 This book, by a leading authority on legged locomotion, presents exciting engineering …
C H A P T E R Robot programming languages and systems
3. Robot library for a new general-purpose language. These robot program-ming languages have been developed by first creating a new general-purpose language as a programming base and …
BOSTON DYNAMICS - challenges.robotevents.com
Boston Dynamics focus on designing the robot and working on it well, as happens with the Vex teams. We can add a new work within Boston Dynamic that combines more with VEX, also …
Introduction to Robotics - GitHub Pages
What is a Robot? •A robot is a machine capable of carrying out a complex series of actions automatically (Wikipedia) •A goal-oriented machine that can sense, plan and act •A robot …
The PETMAN and Atlas Robots at Boston Dynamics - Springer
In 2008, Boston Dynamics began the development of a series of humanoid robots. The goal was to build bipeds with advanced mobility and dexterity. Our first bipeds, the PETMAN robots, …
Human-Robot-Interaction and Motion Planning using Boston …
Spot, an autonomous quadrupedal robot developed by Boston Dynamics, features a programmable software interface that enables automation of tasks like mapping and …
Boston Dynamics Robot Programming Language (2024)
Boston Dynamics Robot Programming Language: Legged Robots that Balance Marc H. Raibert,1986 This book by a leading authority on legged locomotion presents exciting …
Autonomous Behavior Planning For Humanoid Loco …
To lever-age the power of LLMs towards humanoid loco-manipulation, we propose a novel language-model based framework that enables robots to autonomously plan behaviors and …
Boston Dynamics Robot Programming Language (PDF)
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
Spot® Terms and Conditions of Sale - Boston Dynamics
Congratulations on your decision to purchase Spot®, our premiere industrial quadruped robot, or Spot® payloads, software, accessories or services! We are excited to provide you with this …
Boston Dynamics Robot Programming Language
detailed description available for Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects. Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the …
Boston Dynamics Robot Programming Language
boston dynamics robot programming language: Large Language Models Oswald Campesato, 2024-10-02 This book begins with an overview of the Generative AI landscape, distinguishing …
Boston Dynamics Robot Programming Language
Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the concepts of behavior-based programming through text, programming examples, and a unique online simulator robot …
Boston Dynamics Robot Programming Language
detailed description available for Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects. Robot Programming Joe Jones,Daniel Roth,2004-01-02 * Teaches the …
Boston Dynamics Robot Programming Language Full PDF
Boston Dynamics Robot Programming Language: Programming Languages for Industrial Robots Christian Blume,Wilfried Jakob,1986 Previous works on industrial robots dealt with …
