Whole Arm Grasping Control For Redundant Robot Manipulators
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Whole Arm Grasping Control For Redundant Robot Manipulators
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Author :
language : en
Publisher:
Release Date : 2005
Whole Arm Grasping Control For Redundant Robot Manipulators written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
An approach to whole arm grasping of objects using redundant robot manipulators is presented. A kinematic control development is presented which facilitates the encoding of both the end-effector position, as well as body self-motion positioning information as a desired trajectory signal for the manipulator joints. A joint space controller which provides asymptotic tracking of the encoded desired trajectory in the presence of system uncertainties is then presented. Experimental results for a planar, three link configuration of the Barrett whole arm manipulator are provided to illustrate the validity of the approach.
Nonlinear Control Techniques For Robot Manipulators Nonlinear Control Of Mechatronic Systems With Applications In Robotics
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Author : Nitendra Nath
language : en
Publisher: VDM Publishing
Release Date : 2008-04
Nonlinear Control Techniques For Robot Manipulators Nonlinear Control Of Mechatronic Systems With Applications In Robotics written by Nitendra Nath and has been published by VDM Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04 with Manipulators (Mechanism) categories.
This book describes the design and implementation of control strategies for the following topics: i) Whole-arm-grasping control for redundant robot manipulators, ii) Neural network grasping controller for continuum robots, and iii) Coordination control for haptic and teleoperator systems. A kinematic control, for whole-arm grasping of objects using redundant robot manipulators, which facilitates the encoding of both the end-effector position, as well as body self-motion positioning information as a desired trajectory signal for the manipulator joints is presented along with experimental results. An approach to whole-arm grasping control for hyper-redundant robots or continuum robots, is also illustrated. The grasping controller, developed in two stages; high level path planning for the grasping objective, and a low level joint controller using a neural network feedforward component to compensate for dynamic uncertainties, is presented along with some experimental results. Additionally, two controllers, developed for nonlinear haptic and teleoperator systems, are presented. The controllers ensure the tracking and coordination between the systems. Experimental results are included.
Neural Network Grasping Controller For Continuum Robots
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Author :
language : en
Publisher:
Release Date : 2006
Neural Network Grasping Controller For Continuum Robots written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Continuum or hyper-redundant robots are robots which exhibit behavior similar to biological trunks, tentacles and snakes. Unlike traditional robots, continuum robot manipulators do not have rigid joints, hence the manipulators are compliant, extremely dexterous, and capable of dynamic, adaptive manipulation in unstructured environments; however, the development of high-performance control algorithms for these manipulators is a challenging problem. In this paper, we present an approach to whole arm grasping control for continuum robots. The grasping controller is developed in two stages; high level path planning for the grasping objective, and a low level joint controller using a neural network feedforward component to compensate for dynamic uncertainties. These techniques are used to enable whole arm grasping without using contact force measurements and without using a dynamic model of the continuum robot. Experimental results using the OCTARM, a soft continuum robotic manipulator are included to illustrate the efficacy of the proposed low level joint controller.
Kinematic Control Of Redundant Robot Arms Using Neural Networks
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Author : Shuai Li
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-29
Kinematic Control Of Redundant Robot Arms Using Neural Networks written by Shuai Li and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-29 with Technology & Engineering categories.
Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations. Kinematic Control of Redundant Robot Arms Using Neural Networks is divided into three parts: Neural Networks for Serial Robot Arm Control; Neural Networks for Parallel Robot Control; and Neural Networks for Cooperative Control. The book starts by covering zeroing neural networks for control, and follows up with chapters on adaptive dynamic programming neural networks for control; projection neural networks for robot arm control; and neural learning and control co-design for robot arm control. Next, it looks at robust neural controller design for robot arm control and teaches readers how to use neural networks to avoid robot singularity. It then instructs on neural network based Stewart platform control and neural network based learning and control co-design for Stewart platform control. The book finishes with a section on zeroing neural networks for robot arm motion generation. Provides comprehensive understanding on robot arm control aided with neural networks Presents neural network-based control techniques for single robot arms, parallel robot arms (Stewart platforms), and cooperative robot arms Provides a comparison of, and the advantages of, using neural networks for control purposes rather than traditional control based methods Includes simulation and modelling tasks (e.g., MATLAB) for onward application for research and engineering development By focusing on robot arm control aided by neural networks whilst examining central topics surrounding the field, Kinematic Control of Redundant Robot Arms Using Neural Networks is an excellent book for graduate students and academic and industrial researchers studying neural dynamics, neural networks, analog and digital circuits, mechatronics, and mechanical engineering.
Whole Arm Protection Of Redundant Robot Manipulator In Operator In The Loop Operations In The Presence Of Obstacles
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Author : Hong-chin Lin
language : en
Publisher:
Release Date : 1992
Whole Arm Protection Of Redundant Robot Manipulator In Operator In The Loop Operations In The Presence Of Obstacles written by Hong-chin Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Manipulators (Mechanism) categories.
Robotic Grasping And Fine Manipulation
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Author : M. R. Cutkosky
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Robotic Grasping And Fine Manipulation written by M. R. Cutkosky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
When a person picks up a metal part and clamps it in the chuck of a lathe, he begins with his arm, proceeds with his wrist and finishes with his fingers. The arm brings the part near the chuck. The wrist positions the part, giving it the proper orientation to slide in. After the part is inserted, the wrist and fingers make tiny corrections to ensure that it is correctly seated. Today's robot attempting the same operations is at a grave disadvantage if it has to make all motions with the arm. The following work investigates the use of robotic wrists and hands to help industrial robots perform the fine motions needed in a metal working cell. Chapters 1 and 2 are an introduction to the field and a review of previous investigations on related subjects. Little work has been done on grasping and fine manipulation with a robot hand or wrist, but the related subjects of robot arm dynamics and control have an extensive literature.
Robot Force Control
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Author : Bruno Siciliano
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Robot Force Control written by Bruno Siciliano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
One of the fundamental requirements for the success of a robot task is the capability to handle interaction between manipulator and environment. The quantity that describes the state of interaction more effectively is the contact force at the manipulator's end effector. High values of contact force are generally undesirable since they may stress both the manipulator and the manipulated object; hence the need to seek for effective force control strategies. The book provides a theoretical and experimental treatment of robot interaction control. In the framework of model-based operational space control, stiffness control and impedance control are presented as the basic strategies for indirect force control; a key feature is the coverage of six-degree-of-freedom interaction tasks and manipulator kinematic redundancy. Then, direct force control strategies are presented which are obtained from motion control schemes suitably modified by the closure of an outer force regulation feedback loop. Finally, advanced force and position control strategies are presented which include passivity-based, adaptive and output feedback control schemes. Remarkably, all control schemes are experimentally tested on a setup consisting of a seven-joint industrial robot with open control architecture and force/torque sensor. The topic of robot force control is not treated in depth in robotics textbooks, in spite of its crucial importance for practical manipulation tasks. In the few books addressing this topic, the material is often limited to single-degree-of-freedom tasks. On the other hand, several results are available in the robotics literature but no dedicated monograph exists. The book is thus aimed at filling this gap by providing a theoretical and experimental treatment of robot force control.
Adaptive Control For Robotic Manipulators
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Author : Dan Zhang
language : en
Publisher: CRC Press, Taylor & Francis Group, CRC Press is
Release Date : 2017
Adaptive Control For Robotic Manipulators written by Dan Zhang and has been published by CRC Press, Taylor & Francis Group, CRC Press is this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Adaptive control systems categories.
Cover -- Half title -- Title Page -- Copyright page -- Table of Contents -- Preface -- 1: From MRAC to Learning-Based MPC: The Emerging Importance of Machine Learning for Control of Robot Manipulators -- 2: Discussion on Model Reference Adaptive Control of Robotic Manipulators -- 3: Data-Based Learning for Uncertain Robotic Systems -- 4: Reinforcement Learning of Robotic Manipulators -- 5: Adaptive Control for Multi-Fingered Robot Hands -- 6: Output Feedback Adaptive Control of Uncertain Dynamical Systems with Event-Triggering -- 7: Event Sampled Adaptive Control of Robot Manipulators and Mobile Robot Formations -- 8: Design, Integration and Analysis of a Hybrid Controller for Multi Degrees of Freedom Serial Mechanisms -- 9: Adaptive Control of Modular Ankle Exoskeletons in Neurologically Disabled Populations -- 10: Open Architecture High Value Added Robot Manufacturing Cells -- 11: The Adaptive Control Algorithm for Manipulators with Joint Flexibility -- 12: Unification of Bipedal Robotic Walking using Quadratic Program-based Control Lyapunov Function: Applications to Regulation of ZMP and Angular Momentum -- 13: Robust Adaptive Nonlinear Control for Robotic Manipulators with Flexible Joints -- 14: Adaptive Switching Iterative Learning Control of Robot Manipulator -- 15: Adaptive Robust Control Design for Robot Manipulators Based on Online Estimation of the Lumped Time-Varying Model Uncertainties -- 16: Evaluation of Microgenetic and Microimmune Algorithms for Solving Inverse Kinematics of Hyper-redundant Robotic Manipulators On-line -- Index
Intelligent Robotics And Applications
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Author : Haibin Yu
language : en
Publisher: Springer
Release Date : 2019-08-01
Intelligent Robotics And Applications written by Haibin Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Computers categories.
The volume set LNAI 11740 until LNAI 11745 constitutes the proceedings of the 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, held in Shenyang, China, in August 2019. The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows: Part I: collective and social robots; human biomechanics and human-centered robotics; robotics for cell manipulation and characterization; field robots; compliant mechanisms; robotic grasping and manipulation with incomplete information and strong disturbance; human-centered robotics; development of high-performance joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot. Part II: power-assisted system and control; bio-inspired wall climbing robot; underwater acoustic and optical signal processing for environmental cognition; piezoelectric actuators and micro-nano manipulations; robot vision and scene understanding; visual and motional learning in robotics; signal processing and underwater bionic robots; soft locomotion robot; teleoperation robot; autonomous control of unmanned aircraft systems. Part III: marine bio-inspired robotics and soft robotics: materials, mechanisms, modelling, and control; robot intelligence technologies and system integration; continuum mechanisms and robots; unmanned underwater vehicles; intelligent robots for environment detection or fine manipulation; parallel robotics; human-robot collaboration; swarm intelligence and multi-robot cooperation; adaptive and learning control system; wearable and assistive devices and robots for healthcare; nonlinear systems and control. Part IV: swarm intelligence unmanned system; computational intelligence inspired robot navigation and SLAM; fuzzy modelling for automation, control, and robotics; development of ultra-thin-film, flexible sensors, and tactile sensation; robotic technology for deep space exploration; wearable sensing based limb motor function rehabilitation; pattern recognition and machine learning; navigation/localization. Part V: robot legged locomotion; advanced measurement and machine vision system; man-machine interactions; fault detection, testing and diagnosis; estimation and identification; mobile robots and intelligent autonomous systems; robotic vision, recognition and reconstruction; robot mechanism and design. Part VI: robot motion analysis and planning; robot design, development and control; medical robot; robot intelligence, learning and linguistics; motion control; computer integrated manufacturing; robot cooperation; virtual and augmented reality; education in mechatronics engineering; robotic drilling and sampling technology; automotive systems; mechatronics in energy systems; human-robot interaction.
Robotic Grasping And Manipulation
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Author : Yu Sun
language : en
Publisher: Springer
Release Date : 2018-07-14
Robotic Grasping And Manipulation written by Yu Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-14 with Computers categories.
This book constitutes the refereed proceedings of the First Robotic Grasping and Manipulation Challenge, RGMC 2016, held at IROS 2016, Daejeon, South Korea, in October 2016.The 13 revised full papers presented were carefully reviewed and are describing the rules, results, competitor systems and future directions of the inaugural competition. The competition was designed to allow researchers focused on the application of robot systems to compare the performance of hand designs as well as autonomous grasping and manipulation solutions across a common set of tasks. The competition was comprised of three tracks that included hand-in-hand grasping, fully autonomous grasping, and simulation.