Biomechanical Principles On Force Generation And Control Of Skeletal Muscle And Their Applications In Robotic Exoskeleton
Download Biomechanical Principles On Force Generation And Control Of Skeletal Muscle And Their Applications In Robotic Exoskeleton PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Biomechanical Principles On Force Generation And Control Of Skeletal Muscle And Their Applications In Robotic Exoskeleton book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Biomechanical Principles on Force Generation and Control of Skeletal Muscle and their Applications in Robotic Exoskeleton
This book systematically introduces the bionic nature of force sensing and control, the biomechanical principle on mechanism of force generation and control of skeletal muscle, and related applications in robotic exoskeleton. The book focuses on three main aspects: muscle force generation principle and biomechanical model, exoskeleton robot technology based on skeletal muscle biomechanical model, and SMA-based bionic skeletal muscle technology. This comprehensive and in-depth book presents the author's research experience and achievements of many years to readers in an effort to promote academic exchanges in this field. About the Author Yuehong Yin received his B.E. , M.S. and Ph.D. degrees from Nanjing University of Aeronautics and Astronautics, Nanjing, in 1990, 1995 and 1997, respectively, all in mechanical engineering. From December 1997 to December 1999, he was a Postdoctoral Fellow with Zhejiang University, Hangzhou, China, where he became an Associate Professor in July 1999. Since December 1999, he has been with the Robotics Institute, Shanghai Jiao Tong University, Shanghai, China, where he became a Professor and a Tenure Professor in December 2005 and January 2016, respectively. His research interests include robotics, force control, exoskeleton robot, molecular motor, artificial limb, robotic assembly, reconfigurable assembly system, and augmented reality. Dr. Yin is a fellow of the International Academy of Production Engineering (CIRP).
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.
Systems Science
By making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems. Each real science has its own particular methodology for not only qualitative but also quantitative analyses, so it is important to understand the organic whole of systems research with operable mathematical methods. Systems Science: Methodological Approaches presents a mathematical explanation of systems science, giving readers a complete technical formulation of different systemic laws. It enables them to use a unified methodology to attack different problems that are hard, if not impossible, for modern science to handle. Following a brief history of systems science, the book explores: Basic concepts, characteristics, properties, and classifications of general systems Nonlinear systems dynamics and the theory of catastrophe Dissipative structures and synergistics Studies of chaos, including logistic mapping, phase space reconstruction, Lyapunov exponents, and chaos of general single relation systems Different aspects and concepts of fractals, including a presentation of L systems analysis and design Complex systems and complexity, with a discussion of how the phenomena of "three" and complexity are related, and how various cellular automata can be constructed to generate useful simulations and figurative patterns Complex adaptive systems and open complex giant systems, with introduction of the yoyo model and practical applications Complex networks and related concepts and methods The book concludes with several case studies that demonstrate how various concepts and the logic of systems can be practically applied to resolve real-life problems, such as the prediction of natural disasters. The book will be useful in directing future research and applications of systems science on a commonly accepted platform and playground.