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Book Robot Hands And Multi fingered Haptic Interfaces Fundamentals And Applications

Download or read book Robot Hands And Multi fingered Haptic Interfaces Fundamentals And Applications written by Haruhisa Kawasaki and published by World Scientific. This book was released on 2015-03-04 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot Hands and Multi-Fingered Haptic Interfaces is a monograph focusing on the comparison of human hands with robot hands, the fundamentals behind designing and creating the latter, and robotics' latest advancements in haptic technology.This work discusses the design of robot hands; contact models at grasping; kinematic models of constraint; dynamic models of the multi-fingered hand; the stability theorem of non-linear control systems; robot hand control; design and control of multi-fingered haptic interfaces; application systems using multi-fingered haptic interfaces; and telecontrol of robot hands using a multi-fingered haptic interface.Robot Hands and Multi-Fingered Haptic Interfaces is intended mainly for readers who have a foundation in basic robot arm engineering. To understand robot hand manipulation, readers must study kinematic constraint models of fingers, hand dynamics with constraints, stability theorems of non-linear control, and multi-fingered hand control — this book will benefit readers' understanding of this full range of issues regarding robot hand manipulation.

Book Dextrous Robot Hands

Download or read book Dextrous Robot Hands written by Subramanian T. Venkataraman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manipulation using dextrous robot hands has been an exciting yet frustrating research topic for the last several years. While significant progress has occurred in the design, construction, and low level control of robotic hands, researchers are up against fundamental problems in developing algorithms for real-time computations in multi-sensory processing and motor control. The aim of this book is to explore parallels in sensorimotor integration in dextrous robot and human hands, addressing the basic question of how the next generation of dextrous hands should evolve. By bringing together experimental psychologists, kinesiologists, computer scientists, electrical engineers, and mechanical engineers, the book covers topics that range from human hand usage in prehension and exploration, to the design and use of robotic sensors and multi-fingered hands, and to control and computational architectures for dextrous hand usage. While the ultimate goal of capturing human hand versatility remains elusive, this book makes an important contribution to the design and control of future dextrous robot hands through a simple underlying message: a topic as complex as dextrous manipulation would best be addressed by collaborative, interdisciplinary research, combining high level and low level views, drawing parallels between human studies and analytic approaches, and integrating sensory data with motor commands. As seen in this text, success has been made through the establishment of such collaborative efforts. The future will hold up to expectations only as researchers become aware of advances in parallel fields and as a common vocabulary emerges from integrated perceptions about manipulation.

Book Fusion of Hard and Soft Control Strategies for the Robotic Hand

Download or read book Fusion of Hard and Soft Control Strategies for the Robotic Hand written by Cheng-Hung Chen and published by John Wiley & Sons. This book was released on 2017-08-31 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth review of hybrid control techniques for smart prosthetic hand technology by two of the world’s pioneering experts in the field Long considered the stuff of science fiction, a prosthetic hand capable of fully replicating all of that appendage’s various functions is closer to becoming reality than ever before. This book provides a comprehensive report on exciting recent developments in hybrid control techniques—one of the most crucial hurdles to be overcome in creating smart prosthetic hands. Coauthored by two of the world’s foremost pioneering experts in the field, Fusion of Hard and Soft Control Strategies for Robotic Hand treats robotic hands for multiple applications. Itbegins withan overview of advances in main control techniques that have been made over the past decade before addressing the military context for affordable robotic hand technology with tactile and/or proprioceptive feedback for hand amputees. Kinematics, homogeneous transformations, inverse and differential kinematics, trajectory planning, and dynamic models of two-link thumb and three-link index finger are discussed in detail. The remainder of the book is devoted to the most promising soft computing techniques, particle swarm optimization techniques, and strategies combining hard and soft controls. In addition, the book: Includes a report on exciting new developments in prosthetic/robotic hand technology, with an emphasis on the fusion of hard and soft control strategies Covers both prosthetic and non-prosthetic hand designs for everything from routine human operations, robotic surgery, and repair and maintenance, to hazardous materials handling, space applications, explosives disposal, and more Provides a comprehensive overview of five-fingered robotic hand technology kinematics, dynamics, and control Features detailed coverage of important recent developments in neuroprosthetics Fusion of Hard and Soft Control Strategies for Robotic Hand is a must-read for researchers in control engineering, robotic engineering, biomedical sciences and engineering, and rehabilitation engineering.

Book Real time Control of a Multi fingered Robot Hand Using EMG Signals

Download or read book Real time Control of a Multi fingered Robot Hand Using EMG Signals written by Luenin Adriel Barrios and published by . This book was released on 2010 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and development of a real-time computer program for controlling the anthropomorphic six degrees of freedom robotic hand developed in the Robotics Laboratory at San Diego State University is presented. The program allows the hand to be controlled either manually or via EMG signals received from electrodes attached to the user's forearm. The robot hand's joints can be operated independently or ordered to perform synergetic grasp motions. In particular, this research continues the previous work conducted at the lab of using feature extraction and classification of EMG signals in real-time to determine the user's hand position and command the robot hand to achieve the same motion. The grasp modes studied include: cylindrical, spherical, point, and lateral hand positions, and a first order rational approximation function is used to achieve the synergetic motions of the robot hand. The results demonstrate that feature extraction and classification of EMG signals serve as an adequate method for controlling the motions of a robot hand and that such control systems may be utilized in areas such as prostheses.

Book Fundamentals of Robotic Grasping and Fixturing

Download or read book Fundamentals of Robotic Grasping and Fixturing written by Caihua Xiong and published by World Scientific. This book was released on 2007 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a fundamental knowledge of robotic grasping and fixturing (RGF) manipulation. For RGF manipulation to become a science rather than an art, the content of the book is uniquely designed for a thorough understanding of the RGF from the multifingered robot hand grasp, basic fixture design principle, and evaluating and planning of robotic grasping/fixturing, and focuses on the modeling and applications of the RGF. Compared with existing publications, this volume concentrates more on abstract formulation, i.e. mathematical modeling of robotic grasping and fixturing. Thus, it will be a good reference text for academic researchers, manufacturing and industrial engineers and a textbook for engineering graduate students.The book provides readers an overall picture and scientific basis of RGF, the comprehensive information and mathematic models of developing and applying RGF in industry, and presents long term valuable information which is essential and can be used by technical professions as a good reference.

Book Neuro fuzzy Modeling of Multi field Surface Neuroprostheses for Hand Grasping

Download or read book Neuro fuzzy Modeling of Multi field Surface Neuroprostheses for Hand Grasping written by Eukene Imatz Ojanguren and published by Springer. This book was released on 2018-11-03 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

Book Control Theory of Multi fingered Hands

Download or read book Control Theory of Multi fingered Hands written by Suguru Arimoto and published by Springer Science & Business Media. This book was released on 2008-02-15 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here you’ll find a comprehensive insight into the intelligence and dexterity of robotic multi-fingered hands from both the physical and control-theoretic viewpoints. It focuses on the problem of how to control dexterous movements of fingers interacting with an object in the execution of everyday tasks. It moves on to clarify what kinds of sensory-motor coordinated signals are necessary and sufficient for realizing stable grasping as well as object manipulation.

Book The Human Hand as an Inspiration for Robot Hand Development

Download or read book The Human Hand as an Inspiration for Robot Hand Development written by Ravi Balasubramanian and published by Springer. This book was released on 2014-01-03 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The Human Hand as an Inspiration for Robot Hand Development” presents an edited collection of authoritative contributions in the area of robot hands. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities. The twenty-four chapters discuss the field of robotic grasping and manipulation viewed in light of the human hand’s capabilities and push the state-of-the-art in robot hand design and control. Topics discussed include human hand biomechanics, neural control, sensory feedback and perception, and robotic grasp and manipulation. This book will be useful for researchers from diverse areas such as robotics, biomechanics, neuroscience, and anthropologists.

Book Robust Hand Gesture Recognition for Robotic Hand Control

Download or read book Robust Hand Gesture Recognition for Robotic Hand Control written by Ankit Chaudhary and published by Springer. This book was released on 2017-06-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping of the segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers’ angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.

Book Implementation of the Objectmotion decoupled Internal Force Control and Evaluation on the Multifingered Robotic Hand DLR Hand II

Download or read book Implementation of the Objectmotion decoupled Internal Force Control and Evaluation on the Multifingered Robotic Hand DLR Hand II written by Marco Aggravi and published by . This book was released on 2011 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Fuzzy Logic for Task Space Telemanipulation of a Five Fingered Robotic Hand

Download or read book Fuzzy Logic for Task Space Telemanipulation of a Five Fingered Robotic Hand written by Raaghavann Srinivasan and published by . This book was released on 2013 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents a fuzzy logic based HandyMan (Hand gesture commands for grasping and manipulation) system to recognize the operator's hand gestures during task space telemanipulation. A combination of joint positions may be shared between at least two manipulation gestures. To avoid misinterpretation of gestures by the gesture recognition system, six new manipulation gestures were introduced. The gestures are produced by the user wearing a CyberGlove[Trademark symbol]. This system replaces the previous HandyMan gesture recognition method. The output of the fuzzy system drives the state machines to implement the gestures with the robot hand. The experimental results show that the proposed method can be used for telemanipulation of 15-DOF robot hand in task space. Manipulation in six degrees of freedom and pistol grip manipulation is achieved with a good repeatability percentage and no burst errors. The number of fingers used by the user does not affect the number of fingers used by the robot hand during manipulation. Hence, the same manipulation gesture can be used for 2 finger mode, 3 finger mode and 5 finger mode manipulation.

Book Human and Robot Hands

Download or read book Human and Robot Hands written by Matteo Bianchi and published by Springer. This book was released on 2016-02-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.