How To Train Your Robot
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How To Train Your Robot
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Author : Blooma Goldberg
language : en
Publisher:
Release Date : 2019-09-19
How To Train Your Robot written by Blooma Goldberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with categories.
Can robots learn? Blooma and her friends in the Razzle-Dazzle Robot Club hope so. They build a robot and try to train it to clean up their workshop, but that turns out to be harder than it sounds. Will Clark the Cleaning Robot ever learn to clean up?
Learning For Adaptive And Reactive Robot Control
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Author : Aude Billard
language : en
Publisher: MIT Press
Release Date : 2022-02-08
Learning For Adaptive And Reactive Robot Control written by Aude Billard and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Technology & Engineering categories.
Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
How To Build A Robot Army
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Author : Daniel H. Wilson
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2018-03-27
How To Build A Robot Army written by Daniel H. Wilson and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-27 with Humor categories.
It goes without saying that robots kill. They hunt, swarm, and fire lasers from their eyes. They even beat humans at chess. So who better to stand with us when the real villains arrive? Movies instruct us that, whether we like it or not, we will one day be under siege by pirates, ninjas, zombies, aliens, and Godzilla. Also great white sharks. And-let's face it-we're not prepared. But with the advice contained in this brilliantly illustrated, ingenious book, you can build your own robot army to fend off hordes of bloodthirsty foes. From common-sense injunctions ("never approach an unfamiliar robot in a militarized zone") to tactical pointers ("low-power radar beats cameras for detecting mummies in a fog-shrouded crypt") to engineering advice ("passive-dynamic exoskeleton suits will increase sprint speeds but not leg strength"), this book contains all the wisdom you'll need to fend off the coming apocalypse. Witty, informative, and utterly original, How to Build a Robot Army is the ideal book for readers of any age.
Deep Learning For Robot Perception And Cognition
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Author : Alexandros Iosifidis
language : en
Publisher: Academic Press
Release Date : 2022-02-04
Deep Learning For Robot Perception And Cognition written by Alexandros Iosifidis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Technology & Engineering categories.
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Robot Proof
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Author : Joseph E. Aoun
language : en
Publisher: MIT Press
Release Date : 2017-08-25
Robot Proof written by Joseph E. Aoun and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-25 with Education categories.
How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.
How To Train Your Robot New Environments For Robotic Training And New Methods For Transferring Policies From The Simulator To The Real Robot
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Author : Florian Golemo
language : en
Publisher:
Release Date : 2018
How To Train Your Robot New Environments For Robotic Training And New Methods For Transferring Policies From The Simulator To The Real Robot written by Florian Golemo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Robots are the future. But how can we teach them useful new skills? This work covers a variety of topics, all with the common goal of making it easier to train robots. The first main component of this thesis is our work on model-building sim2real transfer. When a policy has been learned entirely in simulation, the performance of this policy is usually drastically lower on the real robot. This can be due to random noise, to imprecisions, or to unmodelled effects like backlash. We introduce a new technique for learning the discrepancy between the simulator and the real robot and using this discrepancy to correct the simulator. We found that for several of our ideas there weren't any suitable simulations available. Therefore, for the second main part of the thesis, we created a set of new robotic simulation and test environments. We provide (1) several new robot simulations for existing robots and variations on existing environments that allow for rapid adjustment of the robot dynamics. We also co-created (2) the Duckietown AIDO challenge, which is a large scale live robotics competition for the conferences NIPS 2018 and ICRA 2019. For this challenge we created the simulation infrastructure, which allows participants to train their robots in simulation with or without ROS. It also lets them evaluate their submissions automatically on live robots in a ”Robotarium”. In order to evaluate a robot's understanding and continuous acquisition of language, we developed the (3) Multimodal Human-Robot Interaction benchmark (MHRI). This test set contains several hours of annotated recordings of different humans showing and pointing at common household items, all from a robot's perspective. The novelty and difficulty in this task stems from the realistic noise that is included in the dataset: Most humans were non-native English speakers, some objects were occluded and none of the humans were given any detailed instructions on how to communicate with the robot, resulting in very natural interactions. After completing this benchmark, we realized the lack of simulation environments that are sufficiently complex to train a robot for this task. This would require an agent in a realistic house settings with semantic annotations. That is why we created (4) HoME, a platform for training household robots to understand language. The environment was created by wrapping the existing SUNCG 3D database of houses in a game engine to allow simulated agents to traverse the houses. It integrates a highly-detailed acoustic engine and a semantic engine that can generate object descriptions in relation to other objects, furniture, and rooms. The third and final main contribution of this work considered that a robot might find itself in a novel environment which wasn't covered by the simulation. For such a case we provide a new approach that allows the agent to reconstruct a 3D scene from 2D images by learning object embeddings, since especially in low-cost robots a depth sensor is not always available, but 2D cameras a common. The main drawback of this work is that it currently doesn't reliably support reconstruction of color or texture. We tested the approach on a mental rotation task, which is common in IQ tests, and found that our model performs significantly better in recognizing and rotating objects than several baselines.
Robotics Unleashed
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-02-18
Robotics Unleashed written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
**Introducing Robotics Unleashed Your Definitive Guide to DIY Robotics** Unlock the captivating world of robot building with "Robotics Unleashed," an eBook meticulously crafted to ignite your passion for creating intelligent machines. Whether you're a curious beginner or a seasoned hobbyist, this guide will take you on an exhilarating journey through the foundations and forefront of robotics technology. **Dive Into the Foundations** Begin your robotics journey with insights into the historic evolution of amateur robot building. Discover how creativity intersects with technology, and equip yourself with the essential tools and mindset to embark on your adventure. **Master the Basics** Explore the core concepts that power all robots—understanding motors, power sources, sensors, and microcontrollers. These building blocks set the stage for your future creations, enabling you to piece together the wonders of robotics. **Build and Innovate** Get hands-on with step-by-step guidance on assembling your first robot. Learn how to troubleshoot common issues, integrate sensors, and program beginner codes. As you enhance your skills, progress to crafting more complex robots that respond dynamically to their environment. **Unleash Creativity with Projects** Engage in thrilling projects where you can build both wheeled and bipedal robots. Learn to design frames, integrate control systems, and construct movement mechanisms while fostering a deep understanding of balance and structure. **Advance to Intelligence** Delve into advanced coding techniques, including an introduction to machine learning and AI behaviors. Discover how to enhance robot interactivity with visual sensors and data processing, pushing your robots from mere machines to intelligent companions. **Evolve Safely and Ethically** Understand the importance of safety, ethical considerations, and the future role of personal robotics in our lives. Learn and grow from past mistakes, using them as stepping stones to develop a resilient creative process. **Celebrate Your Success** Showcase your achievements in events and competitions, document your projects, and plan what's next on your robotics journey. "Robotics Unleashed" is not just a book—it's your gateway to the endless possibilities in the world of DIY robotics. Your adventure awaits!
Artificial Intelligence For Robotics
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Author : Francis X. Govers
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-30
Artificial Intelligence For Robotics written by Francis X. Govers and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Computers categories.
Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
Practical Arduino Robotics
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Author : Lukas Kaul
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-03-17
Practical Arduino Robotics written by Lukas Kaul and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Computers categories.
Build your hardware, electronics, and programming skills, and use them to realize your advanced robotics projects with this powerful platform Purchase of the print or Kindle book includes a free PDF eBook Key Features Become an expert in selecting sensors, motors, and Arduino boards for any robotics project Discover how to write effective and reusable code for your Arduino robotics projects Learn to build a camera-based line follower and a self-balancing telepresence robot on your own Book DescriptionEvery robot needs a “brain,” and the Arduino platform provides an incredibly accessible way to bring your Arduino robot to life. Anyone can easily learn to build and program their own robots with Arduino for hobby and commercial uses, making Arduino-based robots the popular choice for school projects, college courses, and the rapid prototyping of industrial applications! Practical Arduino Robotics is a comprehensive guide that equips you with the necessary skills and techniques that can be applied to various projects and applications, from automating repetitive tasks in a laboratory to building engaging mobile robots. Building on basic knowledge of programming and electronics, this book teaches you how to choose the right components, such as Arduino boards, sensors, and motors, and write effective code for your robotics project, including the use of advanced third-party Arduino libraries and interfaces, such as Analog, SPI, I2C, PWM, and UART. You'll also learn different ways to command your robots wirelessly, such as over Wi-Fi. Finally, with basic to advanced project examples, this book illustrates how to build exciting autonomous robots like a self-balancing telepresence robot. By the end of this book, you'll be able to design and create your own custom robots for a wide variety of applications.What you will learn Understand and use the various interfaces of an Arduino board Write the code to communicate with your sensors and motors Implement and tune methods for sensor signal processing Understand and implement state machines that control your robot Implement feedback control to create impressive robot capabilities Integrate hardware and software components into a reliable robotic system Tune, debug, and improve Arduino-based robots systematically Who this book is for If you’re excited about robotics and want to start creating your own robotics projects from the hardware up, this book is for you. Whether you are an experienced software developer who wants to learn how to build physical robots, a hobbyist looking to elevate your Arduino skills to the next level, or a student with the desire to kick-start your DIY robotics journey, you’ll find this book very useful. In order to successfully work with this book, you’ll need basic familiarity with electronics, Arduino boards and the core concepts of computer programming.
Handbook Of Robotic Surgery
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Author : Stênio de Cássio Zequi
language : en
Publisher: Elsevier
Release Date : 2024-10-02
Handbook Of Robotic Surgery written by Stênio de Cássio Zequi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Computers categories.
Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. The discussion presented in sections ranges from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence-guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, healthcare administrators, and students. There are specific chapters for all areas in which robotic surgery has been used in daily clinical practice or is under development. - Written by doctors, engineers, and nurses, thus eliminating communication barriers and making it accessible for health and engineering professionals - Provides initial literature offering a broad overview of all aspects of robotic surgery that will serve as a solid theoretical base for future developments in robotic subfields - Analyzes cost-effectiveness of robotic surgery, discussing its use in developing countries, ethics, medical-legal aspects, education, training, mentorship, leadership, certification of professionals, and credentialing of robotic centers - Contributed to by key opinion leaders from several nations and continents, taking into account different socioeconomic and cultural regional realities which can influence the widespread use of robotic surgery in the world