Download or read book Handling Uncertainty and Variability in Robot Control written by Nirmal Giftsun and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst a lot of research in motion planning and control in concern with robotic applications, the mankind has never reached a point yet, where the robots are perfectly functional and autonomous in dynamic settings. Though it is controversial to discuss about the necessity of such robots, it is very important to address the issues that stop us from achieving such a level of autonomy. Industrial robots have evolved to be very reliable and highly productive with more than 1.5 million operational robots in a variety of industries. These robots work in static settings and they literally do what they are programmed for specific usecases, though the robots are flexible enough to be programmed for a variety of tasks. This research work makes an attempt to address these issues that separate both these settings in a profound way with special focus on uncertainties. Practical impossibilities of precise sensing abilities lead to a variety of uncertainties in scenarios where the robot is mobile or the environment is dynamic. This work focuses on developing smart strategies to improve the ability to handle uncertainties robustly in humanoid and industrial robots. First, we focus on a dynamical obstacle avoidance framework proposed for industrial robots equipped with skin sensors for reactivity. Path planning and motion control are usually formalized as separate problems in robotics. High dimensional configuration spaces, changing environment and uncertainties do not allow to plan real-time motion ahead of time requiring a controller to execute the planned trajectory. The fundamental inability to unify both these problems has led to handle the planned trajectory amidst perturbations and unforeseen obstacles using various trajectory execution and deformation mechanisms. The proposed framework uses 'Stack of Tasks', a hierarchical controller using proximity information to avoid obstacles. Experiments are performed on a UR5 robot to check the validity of the framework and its potential use for collaborative robot applications. Second, we focus on a strategy to model inertial parameters uncertainties in a balance controller for legged robots. Model-based control has become more and more popular in the legged robots community in the last ten years. The key idea is to exploit a model of the system to compute precise motor commands that result in the desired motion. This allows to improve the quality of the motion tracking, while using lower feedback gains, leading so to higher compliance. However, the main flaw of this approach is typically its lack of robustness to modeling errors. In this paper we focus on the robustness of inverse-dynamics control to errors in the inertial parameters of the robot. We assume these parameters to be known, but only with a certain accuracy. We then propose a computationally-efficient optimization-based controller that ensures the balance of the robot despite these uncertainties. We used the proposed controller in simulation to perform different reaching tasks with the HRP-2 humanoid robot, in the presence of various modeling errors. Comparisons against a standard inverse-dynamics controller through hundreds of simulations show the superiority of the proposed controller in ensuring the robot balance.
Download or read book Handling Uncertainty and Networked Structure in Robot Control written by Lucian Bușoniu and published by Springer. This book was released on 2016-02-06 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active sensing, and complex scenario perception to tackle sensing uncertainty. Part III completes the book with control of networked robots and multi-robot teams. Each chapter features in-depth technical coverage and case studies highlighting the applicability of the techniques, with real robots or in simulation. Platforms include mobile ground, aerial, and underwater robots, as well as humanoid robots and robot arms. Source code and experimental data are available at http://extras.springer.com. The text gathers contributions from academic and industry experts, and offers a valuable resource for researchers or graduate students in robot control and perception. It also benefits researchers in related areas, such as computer vision, nonlinear and learning control, and multi-agent systems.
Download or read book Error Detection and Recovery in Robotics written by Bruce R. Donald and published by Springer. This book was released on 2013-05-03 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics is the science that attempts to forge an intelligent, computational connection between perception and action. Perhaps the most fundamental problems in robotics today are uncertainty and error in control, sensing, and modelling. In this monograph the author provides what is perhaps the first systematic treatment of the uncertainty problem. This book descibes the theory he developed for planning compliant motions for tasks such as robotic assembly. The planner can synthesize robot control programs that are robust in the face of uncertainty in the control system, the robot sensors, and variation in the geometry of the assembly. Perhaps the deepest contribution lies in a new theory of Error Detection and Recovery (EDR). While EDR is largely motivated by the problem of uncertainty its applicability may be quite broad. EDR has been a persistent but ill-defined theme in AI and robotics research. The author gives a constructive, geometric definition for EDR strategies, and shows how they may be computed. This theory represents an elegant mathematical attack on the problem of error detection and recovery based on geometric and physical reasoning. Finally, algorithms for the automatic synthesis of EDR strategies are described, and new results on their computational complexity are analyzed.
Download or read book Task Space Sensory Feedback Control of Robot Manipulators written by Chien Chern Cheah and published by Springer. This book was released on 2015-04-09 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in robot control theory on task space sensory feedback control of robot manipulators. By using sensory feedback information, the robot control systems are robust to various uncertainties in modelling and calibration errors of the sensors. Several sensory task space control methods that do not require exact knowledge of either kinematics or dynamics of robots, are presented. Some useful methods such as approximate Jacobian control, adaptive Jacobian control, region control and multiple task space regional feedback are included. These formulations and methods give robots a high degree of flexibility in dealing with unforeseen changes and uncertainties in its kinematics and dynamics, which is similar to human reaching movements and tool manipulation. It also leads to the solution of several long-standing problems and open issues in robot control, such as force control with constraint uncertainty, control of multi-fingered robot hand with uncertain contact points, singularity issue of Jacobian matrix, global task-space control, which are also presented in this book. The target audience for this book includes scientists, engineers and practitioners involved in the field of robot control theory.
Download or read book Dynamics and Robust Control of Robot Environment Interaction written by Miomir Vukobratovic and published by World Scientific. This book was released on 2009 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most attractive problem in robot control, dealing with the direct interaction between a robot and a dynamic environment, including the human-robot physical interaction. It provides comprehensive theoretical and experimental coverage of interaction control problems, starting from the mathematical modeling of robots interacting with complex dynamic environments, and proceeding to various concepts for interaction control design and implementation algorithms at different control layers. Focusing on the learning principle, it also shows the application of new and advanced learning algorithms for robotic contact tasks.
Download or read book Theory of Robot Control written by Carlos Canudas de Wit and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of the latest research results in the theory of robot control, structured so as to echo the gradual development of robot control over the last fifteen years. In three major parts, the editors deal with the modelling and control of rigid and flexible robot manipulators and mobile robots. Most of the results on rigid robot manipulators in part I are now well established, while for flexible manipulators in part II, some problems still remain unresolved. Part III deals with the control of mobile robots, a challenging area for future research. The whole is rounded off with an appendix reviewing basic definitions and the mathematical background for control theory. The particular combination of topics makes this an invaluable source of information for both graduate students and researchers.
Download or read book Lyapunov Based Control of Robotic Systems written by Aman Behal and published by CRC Press. This book was released on 2009-12-17 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lyapunov-Based Control of Robotic Systems describes nonlinear control design solutions for problems that arise from robots required to interact with and manipulate their environments. Since most practical scenarios require the design of nonlinear controllers to work around uncertainty and measurement-related issues, the authors use Lyapunov's direc
Download or read book Uncertainty and Efficiency in Adaptive Robot Learning and Control written by James Michael Harrison and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous robots have the potential to free humans from dangerous or dull work. To achieve truly autonomous operation, robots must be able to understand unstructured environments and make safe decisions in the face of uncertainty and non-stationarity. As such, robots must be able to learn about, and react to, changing operating conditions or environments continuously, efficiently, and safely. While the last decade has seen rapid advances in the capabilities of machine learning systems driven by deep learning, these systems are limited in their ability to adapt online, learn with small amounts of data, and characterize uncertainty. The desiderata of learning robots therefore directly conflict with the weaknesses of modern deep learning systems. This thesis aims to remedy this conflict and develop robot learning systems that are capable of learning safely and efficiently. In the first part of the thesis we develop tools for efficient learning in changing environments. In particular, we develop tools for the meta-learning problem setting--in which data from a collection of environments may be used to accelerate learning in a new environment--in both the regression and classification setting. These algorithms are based on exact Bayesian inference on meta-learned features. This approach enables characterization of uncertainty in the face of small amounts of within-environment data, and efficient learning via exact conditioning. We extend these approaches to time-varying settings beyond episodic variation, including continuous gradual environmental variation and sharp, changepoint-like variation. In the second part of the thesis we adapt these tools to the problem of robot modeling and control. In particular, we investigate the problem of combining our neural network-based meta-learning models with prior knowledge in the form of a nominal dynamics model, and discuss design decisions to yield better performance and parameter identification. We then develop a strategy for safe learning control. This strategy combines methods from modern constrained control--in particular, robust model predictive control--with ideas from classical adaptive control to yield a computationally efficient, simple to implement, and guaranteed safe control strategy capable of learning online. We conclude the thesis with a discussion of short, intermediate, and long-term next steps in extending the ideas developed herein toward the goal of true robot autonomy.
Download or read book Adaptive Control of Robot Manipulators written by An-Chyau Huang and published by World Scientific. This book was released on 2010 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces an unified function approximation approach to the control of uncertain robot manipulators containing general uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint robot. Even with actuator dynamics, the unified approach is still feasible. All these features make the book stand out from other existing publications.
Download or read book Robot Analysis and Control written by H. Asada and published by John Wiley & Sons. This book was released on 1991-01-16 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Error Detection and Recovery in Robotics written by Bruce R. Donald and published by Springer. This book was released on 1989-03-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics is the science that attempts to forge an intelligent, computational connection between perception and action. Perhaps the most fundamental problems in robotics today are uncertainty and error in control, sensing, and modelling. In this monograph the author provides what is perhaps the first systematic treatment of the uncertainty problem. This book descibes the theory he developed for planning compliant motions for tasks such as robotic assembly. The planner can synthesize robot control programs that are robust in the face of uncertainty in the control system, the robot sensors, and variation in the geometry of the assembly. Perhaps the deepest contribution lies in a new theory of Error Detection and Recovery (EDR). While EDR is largely motivated by the problem of uncertainty its applicability may be quite broad. EDR has been a persistent but ill-defined theme in AI and robotics research. The author gives a constructive, geometric definition for EDR strategies, and shows how they may be computed. This theory represents an elegant mathematical attack on the problem of error detection and recovery based on geometric and physical reasoning. Finally, algorithms for the automatic synthesis of EDR strategies are described, and new results on their computational complexity are analyzed.
Download or read book Mastering Robot design and programming written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash Creativity and Ingenuity in Robotics In the realm of technology and automation, robots have become pivotal in reshaping industries and possibilities. "Mastering Robot Design and Programming" is your definitive guide to understanding and harnessing the potential of robotics, empowering you to create and program intelligent robots that push the boundaries of innovation and redefine the future. About the Book: As robotics technology evolves, the ability to design and program robots becomes increasingly crucial. "Mastering Robot Design and Programming" offers a comprehensive exploration of this dynamic field—an essential toolkit for engineers, enthusiasts, and innovators. This book caters to both newcomers and experienced learners aiming to excel in robot design, customization, and programming. Key Features: Robotics Fundamentals: Begin by understanding the core principles of robotics. Learn about robot components, kinematics, and dynamics that shape robot design. Custom Robot Design: Dive into custom robot design techniques. Explore methods for selecting mechanical parts, designing frames, and ensuring stability and mobility. Programming Basics: Grasp the art of robot programming. Understand how to write and upload code for motion control, sensors, and autonomous behaviors. Sensors and Perception: Explore sensors and perception systems for robots. Learn how to integrate cameras, LiDAR, proximity sensors, and other devices for accurate environment awareness. Autonomous Navigation: Understand the significance of autonomous navigation. Learn how to program robots to navigate through environments, avoid obstacles, and map surroundings. Human-Robot Interaction: Delve into human-robot interaction. Explore techniques for creating interfaces and behaviors that enable robots to collaborate with humans effectively. Robot Applications: Grasp real-world applications of robotics. From manufacturing to healthcare, discover the diverse applications of intelligent robots. Ethics and Safety: Gain insights into robotics ethics and safety considerations. Learn how to design robots that adhere to ethical standards and ensure safe operations. Why This Book Matters: In an age of innovation and automation, mastering robot design and programming offers a competitive edge. "Mastering Robot Design and Programming" empowers engineers, enthusiasts, and technology innovators to leverage robotics technology, enabling them to create intelligent robots that redefine industries and drive progress. Shape the Future of Automation: In the landscape of technology and automation, robots are at the forefront of reshaping industries and possibilities. "Mastering Robot Design and Programming" equips you with the knowledge needed to leverage robotics, enabling you to create and program intelligent machines that redefine innovation and open doors to new horizons. Whether you're a seasoned robotics enthusiast or new to the world of robot design, this book will guide you in building a solid foundation for effective robot customization and programming. Your journey to mastering robot design and programming starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Download or read book Introduction to Mobile Robot Control written by Spyros G Tzafestas and published by Elsevier. This book was released on 2013-10-03 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators. The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics. It then examines a variety of model-based, model-free, and vision-based controllers with unified proof of their stabilization and tracking performance, also addressing the problems of path, motion, and task planning, along with localization and mapping topics. The book provides a host of experimental results, a conceptual overview of systemic and software mobile robot control architectures, and a tour of the use of wheeled mobile robots and manipulators in industry and society. Introduction to Mobile Robot Control is an essential reference, and is also a textbook suitable as a supplement for many university robotics courses. It is accessible to all and can be used as a reference for professionals and researchers in the mobile robotics field. Clearly and authoritatively presents mobile robot concepts Richly illustrated throughout with figures and examples Key concepts demonstrated with a host of experimental and simulation examples No prior knowledge of the subject is required; each chapter commences with an introduction and background
Download or read book Control Theory Of Robotic Systems written by J M Skowronski and published by World Scientific. This book was released on 1989-08-01 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automated manufacturing is the topic of the day in industry and thus also in R&D investigation in both industrial laboratories and academia. The core of such studies lies in systems of robotic manipulators, with control of such systems for stability, effective goal reaching and coordination (timing, avoidance of collision) being an essential part of it. The manipulators must work at high speed and under considerable payloads which require nonlinear modelling. Their work is subject to bounded uncertainty in many parameters but precision must be secured. This book gives the theoretic base and specific algorithms for control, attaining the objectives under the above features. The algorithms given are in closed form, which makes for fast on-board computing.The book deals with its subject of systems of robots and their coordination control on a fundamental basis, using realistic untruncated models. It will be of lasting interest compared to texts dealing with details of the design of the day.
Download or read book Springer Handbook of Robotics written by Bruno Siciliano and published by Springer. This book was released on 2016-07-27 with total page 2259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/
Download or read book Robot Control written by Efren Gorrostieta Hurtado and published by BoD – Books on Demand. This book was released on 2016-10-19 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a selection of research papers in robot control applications. The description of projects using robotic systems in areas such as vision, navigation, path planning, trajectories, non-holonomic systems, mobile robotics, robot control with very specific structures, as well as artificial intelligence systems is pointed out. It also presents several tools and mathematical concepts that allow the development and operation of robotic systems. Additionally, the development of different ideas in control systems that are useful and hopefully enriching for the reader are also presented in this book.
Download or read book Adaptive Robust Control for Planar Snake Robots written by Joyjit Mukherjee and published by Springer Nature. This book was released on 2021-05-11 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how a conventional multi-layered approach can be used to control a snake robot on a desired path while moving on a flat surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors propose a sliding-mode control approach designed to achieve robust maneuvering for bounded uncertainty with a known upper bound. The control is modified by addition of an adaptation law to alleviate the overestimation problem of the switching gain as well as to circumvent the requirement for knowledge regarding the bounds of uncertainty. The book works toward non-conservativeness, achieving efficient tracking in the presence of slowly varying uncertainties with a specially designed framework for time-delayed control. It shows readers how to extract superior performance from their snake robots with an approach that allows robustness toward bounded time-delayed estimation errors. The book also demonstrates how the multi-layered control framework can be simplified by employing differential flatness for such a system. Finally, the mathematical model of a snake robot moving inside a uniform channel using only side-wall contact is discussed. The model has further been employed to demonstrate adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots will interest researchers, practicing engineers and postgraduate students working in the field of robotics and control systems.
