Biologically Inspired Series Parallel Hybrid Robots
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Biologically Inspired Series-Parallel Hybrid Robots
Biologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering all aspects of their mechatronics system design. The book highlights the modular and distributed aspects in their mechanical, electronics, and software design, presenting case studies on various famous series-parallel hybrid robots which will inspire new robot developers. The book also introduces various modern methods for modeling the kinematics and dynamics of complex robots. These methods are also introduced in the form of algorithms or pseudo-code which can be easily programmed with modern day programming languages.
Biologically Inspired Series-Parallel Hybrid Robots
Biologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering all aspects of their mechatronic system design, modelling, and control. This book highlights the modular and distributed aspects of their mechanical, electronics, and software design, introducing various modern methods for modelling the kinematics and dynamics of complex robots. These methods are also introduced in the form of algorithms or pseudo-code which can be easily programmed with modern programming languages. Presenting case studies on various popular series-parallel hybrid robots which will inspire new robot developers, this book will be especially useful for academic and industrial researchers in this exciting field, as well as graduate-level students to bring them closer to the latest technology in mechanical design and control aspects of the area. - Introduces clear definitions for all relevant terms and the foundational theories - Provides in-depth kinematics of various parallel mechanisms typically used in the design of series-parallel hybrid robots - Presents holistic methods for solving kinematics, dynamics, trajectory generation, and control of series-parallel hybrid robots considering large number of holonomic constraints - Investigates case studies on the mechatronic system design of various series-parallel hybrid robots for practitioners in the field
Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics
Research on biomechanics, sensing, and bio-inspired control is vital for progressing rehabilitation and wearable robotics. Biomechanical simulation can provide the theoretical basis for device design and optimize the design and control scheme. The fusion of bio-signals, neural signals, and physical signals is helpful for accurate perception and recognition of human motion intention. Bio-inspired control is an important direction of individualized and efficient assistance of rehabilitation and wearable robotics. In recent years, with the development of biomedical and information technology, the equipment used for information acquisition has been updated from cumbersome and immobile devices to small and portable ones, making integration with rehabilitation and wearable robotics easier. Moreover, the performance of rehabilitation and wearable robotics can be quantified by changes in biomechanics and through the use of biosensors. The proposed Research Topic invites theoretical and experimental research dealing with novel techniques for quantifying biomechanics, sensing, and bio-inspired control in rehabilitation and wearable robotics. For example, the use of biologically inspired actuators no longer requires rigid supports, as the skeletal system can be used to that end; the application of synergies or motor primitives has led to a reduction in the number of actuators or to improve their control. The latest advances in modeling and simulation made it possible to assess and control fatigue or simulate using such devices outside of a clinical environment. These research achievements enable a new generation of rehabilitation and wearable robotics.