This book proposes a transdisciplinary approach to investigating human motor controlthat synthesizes musculoskeletal biomechanics and neural control. The authors argue that thisintegrated approach -- which uses the framework of robotics to understand sensorimotor controlproblems -- offers a more complete and accurate description than either a purely neuralcomputational approach or a purely biomechanical one.
The authors offer an accountof motor control in which explanatory models are based on experimental evidence using mathematicalapproaches reminiscent of physics. These computational models yield algorithms for motor controlthat may be used as tools to investigate or treat diseases of the sensorimotor system and to guidethe development of algorithms and hardware that can be incorporated into products designed to assistwith the tasks of daily living.
The authors focus on the insights their approachoffers in understanding how movement of the arm is controlled and how the control adapts to changingenvironments. The book begins with muscle mechanics and control, progresses in a logical manner toplanning and behavior, and describes applications in neurorehabilitation and robotics. The materialis self-contained, and accessible to researchers and professionals in a range of fields, includingpsychology, kinesiology, neurology, computer science, and robotics.
David W. Franklin is Wellcome Trust Career Development Fellow in the Department of Engineering at the University of Cambridge.
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