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Designing robot behavior in human-robot interactions / Changliu Liu, Robotic Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, Te Tang, Department of Mechanical Engineering, University of California, Berkeley, USA, Hsien-Chung Lin, Research Engineer at FANUC America Corp, San Francisco, California, USA, Masayoshi Tomizuka, Department of Mechanical Engineering, University of California, Berkeley, USA.

By: Contributor(s): Material type: TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]Description: 1 online resource (pages cm.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429058714 (electronic bk)
  • 0429058713 (electronic bk)
  • 9780429602856
  • 0429602855
  • 9780429597336
  • 0429597339
  • 9780429608377
  • 0429608373
Subject(s): DDC classification:
  • 629.8/924019 23
LOC classification:
  • TJ211.49 .L58 2019
Online resources: Summary: "In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions. A methodology in designing the robot behavior through control, planning, decision and learning is proposed. In particular, the following topics are discussed in-depth: safety in the process of during human-robot interactions, efficiency in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and tasks, cooperation among robots and humans with conflict resolution. These methods are applied in various scenarios, such as human-robot collaborative assembly, robot skill learning from human demonstration, interaction between autonomous and human-driven vehicles, etc"--
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"A science publishers book."

"In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions. A methodology in designing the robot behavior through control, planning, decision and learning is proposed. In particular, the following topics are discussed in-depth: safety in the process of during human-robot interactions, efficiency in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and tasks, cooperation among robots and humans with conflict resolution. These methods are applied in various scenarios, such as human-robot collaborative assembly, robot skill learning from human demonstration, interaction between autonomous and human-driven vehicles, etc"--

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