Passivity-Based Control and Estimation in Networked Robotics
Passivity-Based Control and Estimation in Networked Robotics
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DOI:
10.1007/978-3-319-15171-7
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发表时间:
2015-04
期刊:
影响因子:
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通讯作者:
T. Hatanaka;N. Chopra;M. Fujita;M. Spong
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文献类型:
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作者:
T. Hatanaka;N. Chopra;M. Fujita;M. Spong
Passivity is an input–output property of dynamical systems. The concept generalizes physical systems that cannot store more energy than the energy supplied from outside the system. It is one of the most physically appealing concepts in systems and control theory and has been used as a fundamental design tool for linear and nonlinear systems. The concept has also been used to achieve outstanding success in robot control, including the control of robot manipulators, mobile robots, and bipedal robots.Despite the long history of passivity and passivity-based control, the approach still remains in active use even in new research fields at the intersection between systems and control and robotics. A typical new research field in which passivity plays a central role is networked robotics, where a robot works as a component of a network. In this book, we focus on three research fields that fall within networked robotics in particular, bilateral teleoperation, vision-based control/estimation, and cooperative control/estimation. The goal of this book is to describe a unifying passivity-based approach for the emerging research fields. We consider bilateral teleoperation in Part I (Chaps. 2–4), which involves a dual robot system where one remote robot (ie, slave) tracks the motion of another robot (ie, master) that is commanded by a human operator. This field has wide applicability in areas such as operations in hazardous environments, undersea exploration, robotic surgery, and drilling. Some of the fundamental challenges in bilateral teleoperation are enhancing a robot’s ability to interact with arbitrary human operators and remote environments in a stable manner, conducting bilateral teleoperation over unreliable communication networks, and guaranteeing the transparency and high level of performance of the overall system. In this part, we demonstrate that passivity-based control can be utilized as a unifying methodology to address these challenges.