HUMAN ROBOTICS NEUROMECHANICS AND MOTOR CONTROL PDF

Human Robotics: Neuromechanics and Motor Control Book Abstract: 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.

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It is always possible to find an opportunity for exceptional students and ideas. News and recent publications Augmented manipulation abilities with six fingers Neurotechnology attempts to develop supernumerary limbs, but can the human brain deal with the complexity to control an extra limb and yield advantages from it? Our study of polydactyly subjects exhibits hands with a well-formed 6th finger, dedicated additional muscles and neural resources, that give them superior manipulation abilities.

Imagine trying to move a banquet table at a crowded wedding venue. With touch, coordination emerges in a matter of seconds, and the time taken to reach consensus is the same, irrespective of group size.

The full article can be downloaded from Nature Machine Intelligence. Robots help people improve at physical tasks Our recent study reveals that during actions in physical contact, humans form a model of the partner and use it to improve their performance and learning. Read the full article. Pizza smart tech helps stroke patients regain their mobility A digital pizza has been created by robotics experts to help stroke patients regain their mobility.

New technology gives rider with disabilities control of the reins for first time Horse riding is a form of therapy known to have positive effects on the physical and mental abilities of riders who have disabilities. Scientists from Human Robotics Group and Shadow Robotics have volunteered their time to develop a device that has enabled a person with disabilities to ride a horse on his own for the first time. Nature report on our rehabilitation technology Etienne Burdet leans over a glass table, places his elbow in a spring-loaded support clamped to its edge and uses both hands to cut a virtual tomato into thin slices.

The tomato is one of several manipulable objects displayed on a touchscreen fitted with force and motion sensors, motors and light-emitting diodes, all of which are connected by Bluetooth to an Android tablet. Two to tango They say it takes two to tango and it seems that for physical tasks, practising with a partner really does improve performance.

Our study reveals how touch plays a vital and very subtle role in helping people to transmit information to one another.

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Human Robotics

It is always possible to find an opportunity for exceptional students and ideas. News and recent publications Augmented manipulation abilities with six fingers Neurotechnology attempts to develop supernumerary limbs, but can the human brain deal with the complexity to control an extra limb and yield advantages from it? Our study of polydactyly subjects exhibits hands with a well-formed 6th finger, dedicated additional muscles and neural resources, that give them superior manipulation abilities. Imagine trying to move a banquet table at a crowded wedding venue. With touch, coordination emerges in a matter of seconds, and the time taken to reach consensus is the same, irrespective of group size. The full article can be downloaded from Nature Machine Intelligence. Robots help people improve at physical tasks Our recent study reveals that during actions in physical contact, humans form a model of the partner and use it to improve their performance and learning.

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Publication date: 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.

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Includes some of the following topics: an overview of the physiology of the nervous system, peripheral sensory systems, and mechanics of the muscle-tendon complex; fundamental concepts for single- and multi-joint systems; different techniques used to control multi-joint dynamical systems; optimal control and estimation theories as a framework to estimate the state of the body and plan and control human movements; and applications of how the knowledge gained from the previous chapters can be applied to neuro-rehabilitation and robotic control. The book contains many clear illustrations that make it easier to understand and remember the main elementary properties of sensory and muscle dynamics, experimental findings on motor control and learning, and theoretical concepts and models. The book does not cover the whole range of motor control, but focuses on upper limb functioning. It also does not contain exercises, which could be a valuable future addition.

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