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Author: Tyson Harold Harty
Publisher:
ISBN:
Category : Robotics
Languages : en
Pages : 160
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Book Description
Current robots are no match for biological organisms when adapting to real-world, dynamic environments. Collective control strategies, such as those used by synergistic biological systems composed of large numbers of identical parts like the human nervous system, provide a novel and alternative approach for the design of fault-tolerant, adaptable robotic systems that have traditionally relied on centralized control. In this research, a robotic arm composed of multiple identical segments in a collective computational architecture was tested for its ability to produce adaptive pointing and reaching behavior. The movement rules for these robotic arm segments were based on the concepts of the "reflex arc" and the "action system" in the human nervous system. Robotic arms of three to seven encapsulated segments were tested. These arms received no central directions and used no direct informational exchange. The arms were sensor-driven at their distal, or leading, outstretched ends to maximize pointing accuracy on a two-dimensional target plane. The remaining non-distal segments in the arms were moved in a sequential order using sensed locally-available movement information about neighboring segments. Successful pointing and reaching behavior was observed in situations with and without movement obstacles. This led to the conclusion that because such behavior was not specified within each segment, the overall arm behavior emerged due to the interaction and coordination of all segments, rather than due to any single segment, centrally-controlled influence, or explicit inter-segmental method of communication.
Author: Tyson Harold Harty
Publisher:
ISBN:
Category : Robotics
Languages : en
Pages : 160
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Book Description
Current robots are no match for biological organisms when adapting to real-world, dynamic environments. Collective control strategies, such as those used by synergistic biological systems composed of large numbers of identical parts like the human nervous system, provide a novel and alternative approach for the design of fault-tolerant, adaptable robotic systems that have traditionally relied on centralized control. In this research, a robotic arm composed of multiple identical segments in a collective computational architecture was tested for its ability to produce adaptive pointing and reaching behavior. The movement rules for these robotic arm segments were based on the concepts of the "reflex arc" and the "action system" in the human nervous system. Robotic arms of three to seven encapsulated segments were tested. These arms received no central directions and used no direct informational exchange. The arms were sensor-driven at their distal, or leading, outstretched ends to maximize pointing accuracy on a two-dimensional target plane. The remaining non-distal segments in the arms were moved in a sequential order using sensed locally-available movement information about neighboring segments. Successful pointing and reaching behavior was observed in situations with and without movement obstacles. This led to the conclusion that because such behavior was not specified within each segment, the overall arm behavior emerged due to the interaction and coordination of all segments, rather than due to any single segment, centrally-controlled influence, or explicit inter-segmental method of communication.
Author: Matteo Bianchi
Publisher: Frontiers Media SA
ISBN: 2889457958
Category :
Languages : en
Pages : 134
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Book Description
Humans are endowed with extraordinary sensory-motor capabilities that enable a successful interaction with and exploration of the environment, as is the case of human manipulation. Understanding and modeling these capabilities represents an important topic not only for neuroscience but also for robotics in a mutual inspiration, both to inform the design and control of artificial systems and, at the same time, to increase knowledge on the biological side. Within this context, synergies -- i.e., goal-directed actions that constrain multi DOFs of the human body and can be defined at the kinematic, muscular, neural level -- have gained increasing attention as a general simplified approach to shape the development of simple and effective artificial devices. The execution of such purposeful sensory-motor primitives on the biological side leverages on the interplay of the sensory-motor control at central and peripheral level, and the interaction of the human body with the external world. This interaction is particularly important considering the new concept of robotic soft manipulation, i.e. soft, adaptable yet robust robotic hands that can deform with the external environment to multiply their grasping and manipulation capabilities. Under this regard, a preeminent role is reserved to touch, being that skin isour primary organ to shape our knowledge of the external world and, hence, to modify it, in interaction with the efferent parts. This Research Topic reports results on the mutual inspiration between neuroscience and robotics, and on how it is possible to translate neuroscientific findings on human manipulation into engineering guidelines for simplified systems able to take full advantage from the interaction and hence exploitation of environmental constraints for task accomplishment and knowledge acquisition.
Author: Giuseppe Averta
Publisher: Springer
ISBN: 9783030925208
Category : Technology & Engineering
Languages : en
Pages : 276
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Book Description
This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human–robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.
Author: Etienne Burdet
Publisher: MIT Press
ISBN: 0262536412
Category : Science
Languages : en
Pages : 291
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Book Description
A synthesis of biomechanics and neural control that draws on recent advances in robotics to address control problems solved by the human sensorimotor system. This book proposes a transdisciplinary approach to investigating human motor control that synthesizes musculoskeletal biomechanics and neural control. The authors argue that this integrated approach—which uses the framework of robotics to understand sensorimotor control problems—offers a more complete and accurate description than either a purely neural computational approach or a purely biomechanical one. The authors offer an account of motor control in which explanatory models are based on experimental evidence using mathematical approaches reminiscent of physics. These computational models yield algorithms for motor control that may be used as tools to investigate or treat diseases of the sensorimotor system and to guide the development of algorithms and hardware that can be incorporated into products designed to assist with the tasks of daily living. The authors focus on the insights their approach offers in understanding how movement of the arm is controlled and how the control adapts to changing environments. The book begins with muscle mechanics and control, progresses in a logical manner to planning and behavior, and describes applications in neurorehabilitation and robotics. The material is self-contained, and accessible to researchers and professionals in a range of fields, including psychology, kinesiology, neurology, computer science, and robotics.
Author: Adam Spiers
Publisher: Springer
ISBN: 3319301608
Category : Technology & Engineering
Languages : en
Pages : 286
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Book Description
This book investigates a biologically inspired method of robot arm control, developed with the objective of synthesising human-like motion dynamically, using nonlinear, robust and adaptive control techniques in practical robot systems. The control method caters to a rising interest in humanoid robots and the need for appropriate control schemes to match these systems. Unlike the classic kinematic schemes used in industrial manipulators, the dynamic approaches proposed here promote human-like motion with better exploitation of the robot’s physical structure. This also benefits human-robot interaction. The control schemes proposed in this book are inspired by a wealth of human-motion literature that indicates the drivers of motion to be dynamic, model-based and optimal. Such considerations lend themselves nicely to achievement via nonlinear control techniques without the necessity for extensive and complex biological models. The operational-space method of robot control forms the basis of many of the techniques investigated in this book. The method includes attractive features such as the decoupling of motion into task and posture components. Various developments are made in each of these elements. Simple cost functions inspired by biomechanical “effort” and “discomfort” generate realistic posture motion. Sliding-mode techniques overcome robustness shortcomings for practical implementation. Arm compliance is achieved via a method of model-free adaptive control that also deals with actuator saturation via anti-windup compensation. A neural-network-centered learning-by-observation scheme generates new task motions, based on motion-capture data recorded from human volunteers. In other parts of the book, motion capture is used to test theories of human movement. All developed controllers are applied to the reaching motion of a humanoid robot arm and are demonstrated to be practically realisable. This book is designed to be of interest to those wishing to achieve dynamics-based human-like robot-arm motion in academic research, advanced study or certain industrial environments. The book provides motivations, extensive reviews, research results and detailed explanations. It is not only suited to practising control engineers, but also applicable for general roboticists who wish to develop control systems expertise in this area.
Author: Matteo Bianchi
Publisher: Springer
ISBN: 331926706X
Category : Computers
Languages : en
Pages : 284
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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: Ravi Balasubramanian
Publisher: Springer
ISBN: 3319030175
Category : Technology & Engineering
Languages : en
Pages : 573
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Book Description
“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.
Author: David A. Rosenbaum
Publisher: Elsevier
ISBN: 0080571085
Category : Psychology
Languages : en
Pages : 434
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Book Description
Human Motor Control is a elementary introduction to the field of motor control, stressing psychological, physiological, and computational approaches. Human Motor Control cuts across all disciplines which are defined with respect to movement: physical education, dance, physical therapy, robotics, and so on. The book is organized around major activity areas. A comprehensive presentation of the major problems and topics in human motor control Incorporates applications of work that lie outside traditional sports or physical education teaching
Author:
Publisher:
ISBN:
Category : Microcards
Languages : en
Pages : 1352
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Book Description
Author: Roger Gassert
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
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Book Description
