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Bio-mechanisms of swimming and flying ; Fluid dynamics, biomimetic robots, and sports science
This book follows "Bio-mechanisms of Animals in Swimming and Flying" published in 2004 including 11 chapters. This time, the book includes 31 chapters on the latest researches into natural autonomous systems and locomotion in both flying and swimming organisms. The area of sports science such as analysis and simulation of human swimming is newly added. The computational frameworks for the modeling, simulation and optimization of animals in swimming and flying demonstrate an important role in the progress of interdisciplinary work in the fields of biology and engineering. An innovative technology is exhibited for the flight of an insect size micro air vehicle. Neuronal science is not only unveiling the locomotion mechanisms of swimming in fish from the aspect of the neuronal activities, but also applied to underwater biomimetic robots. The interdisciplinary works are exhibited in the fields of biology and engineering, yielding real-world benefits in innovative technologies.
Advances in Robot Kinematics : Mechanisms and Motion
This book presents 53 independently reviewed papers which embody the latest advances in the theory, design, control and application of robotic systems, which are intended for a variety of purposes such as manipulation, manufacturing, automation, surgery, locomotion and biomechanics.
Advances in Robot Kinematics : Analysis and Design
This book presents the most recent research advances in the theory, design, control and application of robot systems, which are intended for a variety of purposes such as manipulation, manufacturing, automation, surgery, locomotion and biomechanics.
3D-Position Tracking and Control for All-Terrain Robots
Rough terrain robotics is a fast evolving field of research and a lot of effort is deployed towards enabling a greater level of autonomy for outdoor vehicles. This book demonstrates how the accuracy of 3D position tracking can be improved by considering rover locomotion in rough terrain as a holistic problem. In this work, a mechanical structure allowing smooth motion across obstacles with limited wheel slip is used. In particular, it enables the use of odometry and inertial sensors to improve the position estimation in rough terrain. A method for computing 3D motion increments based on the wheel encoders and chassis state sensors is developed. The algorithm runs online and can be adapted to any kind of passive wheeled rover. Finally, sensor fusion using 3D-Odometry, inertial sensors and visual motion estimation based on stereovision is presented. The experimental results demonstrate how each sensor contributes to increase the accuracy and robustness of the 3D position estimation.
