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Author: Qiang Li
Publisher: Academic Press
ISBN: 0323904173
Category : Computers
Languages : en
Pages : 374
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Book Description
Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects’ property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning. Provides a review of tactile perception and the latest advances in the use of robotic dexterous manipulation Presents the most detailed work on synthesizing intelligent tactile perception, skill learning and adaptive control Introduces recent work on human’s dexterous skill representation and learning and the adaptive control schema and its learning by imitation and exploration Reveals and illustrates how robots can improve dexterity by modern tactile sensing, interactive perception, learning and adaptive control approaches
Author: Qiang Li
Publisher: Academic Press
ISBN: 0323904173
Category : Computers
Languages : en
Pages : 374
Get Book
Book Description
Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects’ property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning. Provides a review of tactile perception and the latest advances in the use of robotic dexterous manipulation Presents the most detailed work on synthesizing intelligent tactile perception, skill learning and adaptive control Introduces recent work on human’s dexterous skill representation and learning and the adaptive control schema and its learning by imitation and exploration Reveals and illustrates how robots can improve dexterity by modern tactile sensing, interactive perception, learning and adaptive control approaches
Author: Vladimir J. Lumelsky
Publisher: John Wiley & Sons
ISBN: 0471738190
Category : Technology & Engineering
Languages : en
Pages : 456
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Book Description
A leap forward in the field of robotics Until now, most of the advances in robotics have taken place instructured environments. Scientists and engineers have designedhighly sophisticated robots, but most are still only able tooperate and move in predetermined, planned environments designedspecifically for the robots and typically at very high cost. Thisnew book takes robotics to the next level by setting forth thetheory and techniques needed to achieve robotic motion inunstructured environments. The ability to move and operate in anarbitrary, unplanned environment will lead to automating a widerange of new robotic tasks, such as patient care, toxic sitecleanup, and planetary exploration. The approach that opens the door for robots to handle unstructuredtasks is known as Sensing-Intelligence-Motion (SIM), which drawsfrom research in topology, computational complexity, controltheory, and sensing hardware. Using SIM as an underlyingfoundation, the author's carefully structured presentation isdesigned to: * Formulate the challenges of sensor-based motion planning and thenbuild a theoretical foundation for sensor-based motion planningstrategies * Investigate promising algorithmic strategies for mobile robotsand robot arm manipulators, in both cases addressing motionplanning for the whole robot body * Compare robot performance to human performance in sensor-basedmotion planning to gain better insight into the challenges of SIMand help build synergistic human-robot teams for tele-operationtasks. It is both exciting and encouraging to discover that robotperformance decisively exceeds human performance in certain tasksrequiring spatial reasoning, even when compared to trainedoperators * Review sensing hardware that is necessary to realize the SIMparadigm Some 200 illustrations, graphic sketches, and photos are includedto clarify key issues, develop and validate motion planningapproaches, and demonstrate full systems in operation. As the first book fully devoted to robot motion planning inunstructured environments, Sensing, Intelligence, Motion is amust-read for engineers, scientists, and researchers involved inrobotics. It will help them migrate robots from highly specializedapplications in factories to widespread use in society whereautonomous robot motion is needed.
Author: Tetsuyou Watanabe
Publisher: Academic Press
ISBN: 0128133961
Category : Technology & Engineering
Languages : en
Pages : 218
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Book Description
Human Inspired Dexterity in Robotic Manipulation provides up-to-date research and information on how to imitate humans and realize robotic manipulation. Approaches from both software and hardware viewpoints are shown, with sections discussing, and highlighting, case studies that demonstrate how human manipulation techniques or skills can be transferred to robotic manipulation. From the hardware viewpoint, the book discusses important human hand structures that are key for robotic hand design and how they should be embedded for dexterous manipulation. This book is ideal for the research communities in robotics, mechatronics and automation. Investigates current research direction in robotic manipulation Shows how human manipulation techniques and skills can be transferred to robotic manipulation Identifies key human hand structures for robotic hand design and how they should be embedded in the robotic hand for dexterous manipulation
Author: Matteo Bianchi
Publisher: Springer
ISBN: 331926706X
Category : Computers
Languages : en
Pages : 283
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Book Description
This book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics. Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems. Presented in two parts, the first part, Neuroscience, provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part, Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one. Human and Robot Hands provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.
Author: Chenguang Yang
Publisher: CRC Press
ISBN: 1000395170
Category : Computers
Languages : en
Pages : 184
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Book Description
In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.
Author: Martin Pfanne
Publisher: Springer Nature
ISBN: 3031069676
Category : Technology & Engineering
Languages : en
Pages : 213
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Book Description
This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.
Author: Bin Fang
Publisher: Springer Nature
ISBN: 9811551243
Category : Technology & Engineering
Languages : en
Pages : 219
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Book Description
Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.
Author: Bruno Siciliano
Publisher: Springer Science & Business Media
ISBN: 364229040X
Category : Computers
Languages : en
Pages : 284
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Book Description
Dexterous and autonomous manipulation is a key technology for the personal and service robots of the future. Advances in Bimanual Manipulation edited by Bruno Siciliano provides the robotics community with the most noticeable results of the four-year European project DEXMART (DEXterous and autonomous dual-arm hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition). The volume covers a host of highly important topics in the field, concerned with modelling and learning of human manipulation skills, algorithms for task planning, human-robot interaction, and grasping, as well as hardware design of dexterous anthropomorphic hands. The results described in this five-chapter collection are believed to pave the way towards the development of robotic systems endowed with dexterous and human-aware dual-arm/hand manipulation skills for objects, operating with a high degree of autonomy in unstructured real-world environments.
Author: Howard R Nicholls
Publisher: World Scientific
ISBN: 9814505781
Category : Computers
Languages : en
Pages : 312
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Book Description
Advanced robot systems require sensory information to enable them to make decisions and to carry out actions in a versatile, autonomous way. Humans make considerable use of information derived through touch, and an emerging domain of robot sensing is tactile sensing. This book considers various aspects of tactile sensing, from hardware design through to the use of tactile data in exploratory situations using a multi-fingered robot hand. In the first part of the book, the current state of progress of tactile sensing is surveyed, and it is found that the field is still in an early stage of development. Next, some fundamental issues in planar elasticity, concerning the interaction between tactile sensors and the environment, are presented. Having established how the basic data can be derived from the sensors, the issues of what form tactile sensors should take, and how they should be used, are considered. This is particularly important given the infancy of this field. The human tactile system is examined, and then biological touch and its implications for robotics is looked at. Some experiments in dextrous manipulation using a robot hand are described, which apply some of these results. The integration of tactile sensors into a complete system is also considered, and another, novel, approach for using touch sensing in a flexible assembly machine is described. Both basic material and new research results are provided in this book, thus catering to different levels of readers. The chapters by world experts in different aspects of the field are integrated well into one volume. The editor and authors have produced a thorough and in-depth survey of all work in robot tactile sensing, making the book essential reading for all researchers in this emergent field. Contents:Introduction to Tactile SensingTactile Sensor DesignsProcessing and Using Tactile Sensor Data (H R Nicholls)Planar Elasticity for Tactile Sensing (R S Fearing)Integrating Tactile Sensors — ESPRIT 278 (Z G Rzepczynski)Distributed Touch Sensing (H R Nicholls & N W Hardy)The Human Tactile System (L Moss-Salentijn)Lessons from the Study of Biological Touch for Robotic Tactile Sensing (S J Lederman & D T Pawluck)Lessons from the Study of Biological Touch for Robotic Haptic Sensing (S J Lederman et al.)Object Recognition Using Active Tactile Sensing (P K Allen)Experiments in Active Haptic Perception with the Utah-MIT Dextrous Hand (P K Allen et al.)Future Trends in Tactile Sensing (H R Nicholls)Appendix — Basic Linear Elasticity (R S Fearing) Readership: Computer scientists and engineers. keywords:Tactile Sensing;Tactile Sensor;Force Sensing;Force Sensor;Image Processing;Intelligent Robotics;Haptics;Robot Gripper;Robot Grasping;Touch Sensing;Touch Sensor “The book is well presented, with copious references to the literature, and will certainly be accepted as a standard work of reference in this area.” Robotica
Author: R. Andrew Russell
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 192
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Book Description
This work introduces tactile sensing for those engaged in advanced, sensor-based robotics, with special reference to problems of addressing arrays of sensor elements. It describes tactile sensors to register contact, surface profile, thermal properties and other tactile sensing modes. The use of robot manipulators to provide mobility for tactile sensors, and techniques for applying tactile sensing in robotic manipulation and recognition tasks are also covered. The various applications of this technology are discussed, and robot hands and grips are detailed.
