In this book, the authors provide a unified analytical framework for various human-robot systems, which involves peer to peer interactions or hierarchical interactions. The following topics are discussed: real-time motion planning, robot skill learning, mechanism design for conflict resolution, closed-loop analysis and safety verification.
In this book, the authors provide a unified analytical framework for various human-robot systems, which involves peer to peer interactions or hierarchical interactions. The following topics are discussed: real-time motion planning, robot skill learning, mechanism design for conflict resolution, closed-loop analysis and safety verification.
Changliu Liu is an assistant professor in the Robotics Institute at Carnegie Mellon University, where she leads the Intelligent Control Lab. She received her PhD degree from University of California at Berkeley in 2017. Her research interests include: robotics and human-robot interactions, control and motion planning, optimization and optimal control, multi-agent system and game theory, design and verification of safe intelligent systems. Te Tang received his PhD degree from University of California at Berkeley in 2018. He joined FANUC America Corporation in 2018, and he is currently a researcher at FANUC Advanced Research Laboratory. His research interests include robotics, learning from demonstration, computer vision and their industrial applications. Hsien-Chung Lin is a research engineer in FANUC Advanced Research Laboratory at FANUC America Corporation. Prior to joining FANUC, he received his Ph.D. degree from University of California at Berkeley in 2018. His research interests cover robotics, optimal control, human-robot interaction, learning from demonstration and motion planning. Masayoshi Tomizuka received his PhD degree from MIT in 1974. In 1974, he joined the Mechanical Engineering Department of the University of California, Berkeley, where he currently is Cheryl and John Neerhout, Jr., Distinguished Professor. His research interests are control theory and its applications to mechatronic systems such as robots. He is a Life Fellow of ASME and IEEE, and a Fellow of IFAC. He was awarded the Rufus Oldenburger Medal (2002) and the Richard Bellman Control Heritage Award (2018).
Inhaltsangabe
SECTION I INTRODUCTION. Introduction. Framework. SECTION II THEORY. Safety during Human Robot Interactions. Efficiency in Real Time Motion Planning. Imitation: Mimicking Human Behavior. Dexterity: Analogy Learning to Expand Robot Skill Sets. Cooperation: Conflict Resolution during Interactions. SECTION III APPLICATIONS. Human Robot Co existence: Space Sharing Interactions. Robot Learning from Human: Hierarchical Interactions. Human Robot Collaboration: Time Sharing Interactions. SECTION IV CONCLUSION. Vision for Future Robotics and Human Robot Interactions. References. Index
SECTION I INTRODUCTION. Introduction. Framework. SECTION II THEORY. Safety during Human Robot Interactions. Efficiency in Real Time Motion Planning. Imitation: Mimicking Human Behavior. Dexterity: Analogy Learning to Expand Robot Skill Sets. Cooperation: Conflict Resolution during Interactions. SECTION III APPLICATIONS. Human Robot Co existence: Space Sharing Interactions. Robot Learning from Human: Hierarchical Interactions. Human Robot Collaboration: Time Sharing Interactions. SECTION IV CONCLUSION. Vision for Future Robotics and Human Robot Interactions. References. Index
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