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This book discusses biologically inspired robotic actuators designed to offer improved robot performance and approaching human-like efficiency and versatility. It assesses biological actuation and control in the human motor system, presents a range of technical actuation approaches, and discusses potential applications in wearable robots, i.e., powered prostheses and exoskeletons. Gathering the findings of internationally respected researchers from various fields, the book provides a uniquely broad perspective on bioinspired actuator designs for robotics. Its scope includes fundamental aspects of biomechanics and neuromechanics, actuator and control design, and their application in (wearable) robotics. The book offers PhD students and advanced graduate students an essential introduction to the field, while providing researchers a cutting-edge research perspective.

Robotics. --- Robots --- Movement of robots --- Robot motion --- Motion --- Automation --- Machine theory --- Motion.

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Robots --- Robotics. --- Aerospace engineering. --- Motion. --- Aeronautical engineering --- Aeronautics --- Astronautics --- Engineering --- Automation --- Machine theory --- Movement of robots --- Robot motion --- Motion

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Artificial intelligence. Robotics. Simulation. Graphics --- Robots --- -681.3*I29 --- Automata --- Automatons --- Manipulators (Mechanism) --- Robotics --- Mecha (Vehicles) --- Motion --- Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- Motion. --- 681.3*I29 Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- 681.3*I29 --- Movement of robots --- Robot motion

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Research on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research topics in humanoid robotics research and the last few years have witnessed considerable progress in the field. Motion Planning for Humanoid Robots surveys the remarkable recent advancement in both the theoretical and the practical aspects of humanoid motion planning. Various motion planning frameworks are presented in Motion Planning for Humanoid Robots, including one for skill coordination and learning, and one for manipulating and grasping tasks. The problem of planning sequences of contacts that support acyclic motion in a highly constrained environment is addressed and a motion planner that enables a humanoid robot to push an object to a desired location on a cluttered table is described. The main areas of interest include: • whole body motion planning, • task planning, • biped gait planning, and • sensor feedback for motion planning. Torque-level control of multi-contact behavior, autonomous manipulation of moving obstacles, and movement control and planning architecture are also covered. Motion Planning for Humanoid Robots will help readers to understand the current research on humanoid motion planning. It is written for industrial engineers, advanced undergraduate and postgraduate students.

Humanoider Roboter. --- Robot vision. --- Robotics. --- Robots -- Control systems. --- Androids --- Robots --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Motion --- Motion. --- Control systems. --- Robot control --- Movement of robots --- Robot motion --- Engineering. --- Control engineering. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Robotics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Construction --- Industrial arts --- Technology

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This book focuses on a critical issue in the study of physical agents, whether natural or artificial: the quantitative modelling of sensory–motor coordination. Adopting a novel approach, it defines a common scientific framework for both the intelligent systems designed by engineers and those that have evolved naturally. As such it contributes to the widespread adoption of a rigorous quantitative and refutable approach in the scientific study of ‘embodied’ intelligence and cognition More than 70 years after Norbert Wiener’s famous book Cybernetics: or Control and Communication in the Animal and the Machine (1948), robotics, AI and life sciences seem to be converging towards a common model of what we can call the ‘science of embodied intelligent/cognitive agents’. This book is interesting for an interdisciplinary community of researchers, technologists and entrepreneurs working at the frontiers of robotics and AI, neuroscience and general life and brain sciences.

Sensorimotor integration. --- Integration, Sensorimotor --- Intersensory integration --- Perceptual-motor integration --- Sensimotor integration --- Sensory integration --- Sensory-motor integration --- Perceptual-motor processes --- Sensory integration dysfunction --- Engineering. --- Robotics and Automation. --- Computational Intelligence. --- Robotics. --- Automation. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Robots --- Motion. --- Movement of robots --- Robot motion --- Motion