Frontiers in robotics and electromechanics
著者
書誌事項
Frontiers in robotics and electromechanics
（Smart innovation, systems and technologies, v.329）
Springer Nature Singapore, c2023
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注記
Includes bibliographical references
内容説明・目次
内容説明
This book introduces intellectual control systems and electromechanics of heterogeneous robots. The book uncovers fundamental principles of robot control and recent developments in software and hardware of robots. The book presents solutions and discusses problems of single robotic devices as well as heterogeneous robotic teams while performing technological tasks that require informational, physical or energetic interaction with human users, environment and other robots. The book considers model-algorithmic and software-hardware control of ground, water and underwater robots, unmanned aerial vehicles, as well as their embedded and attached sub-systems, including manipulators, end-effectors, sensors, actuators, etc. The book will be useful for researchers of interdisciplinary issues related to robotics, electromechanics and artificial intelligence. The book is recommended for graduate students with a major/minor in the areas of robotics and mechatronics, management in technical systems, Internet of Things, artificial intelligence, electrical engineering, mechanical engineering and computer science.
目次
Simulation of Foot Movement during Walking Based on the Study of Different Step Parameters.-Mathematical Modeling of the Biomechanical Rehabilitation System of Foot Exoskeleton in Frontal and Sagittal Planes.- Simulation of Controlled Motion of the Actuator of Robotic Systems in the Presence of Coupling Forces.- Digital Control by Robot Manipulator with Improved Rigidity.- Performance Evaluation of Multigrid Brute Force Solutions of Inverse Kinematics Problem for the Robotis OP2 Humanoid Hand.- Neural Network Approach for Solving Inverse Kinematics Problem of Modular Reconfigurable Systems.- Algorithm of Trajectories Synthesis for Modular Wheeled Inspection Robot.- Study of Algorithms for Coordinating a Group of Autonomous Robots in a Formation.- Intelligent System for Countering Groups of Robots Based on Reinforcement Learning Technologies.- LIRS-MazeGen: An Easy-to-Use Blender Extension for Modeling Maze-Like Environments for Gazebo Simulator.
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