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Thursday, 27 01 2011
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Department of Robotic Systems


ICRA2011 - Towards Autonomous Physical Human-Robot Interaction

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The design of robots that are able to operate in physical contact with humans and directly  interact with them in an intuitive and safe manner has been intensively studied from numerous perspectives. Physical Human-Robot Interaction (pHRI) was especially addressed from the design, control, and motion planning side, leading to very powerful solutions to the specific sub-cases of the general problem. However, such sub-cases were often treated separately from each other and a unifying holistic concept is still completely lacking in the robotics community. Furthermore, the autonomous execution of complex physical interaction tasks remains an open problem. It especially necessitates the systematic combination of higher-level cognitive perception-action loops with the underlying low-level control behavior. In this sense, this full-day workshop intends to bring together world renowned researchers from fields directly or indirectly related to the field of pHRI. This includes robot design, interaction control, motion planning, human-human and human-robot interaction, haptics, learning, autonomous control, and behavioral science. We would like to encourage a fruitful and inspiring exchange of ideas and stimulating discussions that provide the basis for novel approaches and guide future research in HRI.

Invited speakers

  • Dr. Alin Albu-Schaeffer, Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Wessling, Germany
    • Title:Soft Robotics Control Concepts for Robots Interacting with Humans and their Environments
    • Abstract
  • Prof. Antonio Bicchi, Interdepartmental Research Center "E. Piaggio", Faculty of Engineering, Pisa University, Pisa, Italy
    • Title: Tele-Impedance: preliminary results on measuring and replicating human arm impedance in robots
    • Abstract
  • Prof. Aude Billard, Learning Algorithms and Systems Laboratory, EPFL, Lausanne, Switzerland
    • Title: Motion Learning during Physical Interaction with Humans
    • Abstract
  • Prof. Martin Buss, Institute of Automatic Control Engineering, Department of Electrical Engineering, Technische Universitaet Muenchen, Muenchen, Germany
    • Title: Haptic Interaction in Human-Human and Human-Robot Dyads
    • Abstract
  • Prof. Alessandro De Luca, Dipartimento di Informatica e Sistemistica "A. Ruberti"  Universita di Roma "La Sapienza", Rome, Italy
    • Title: Stiffness Estimation and Nonlinear Control of Robots with Variable Stiffness Actuation
    • Abstract
  • Prof. Oussama Khatib, Artificial Intelligence Laboratory Department of Computer Science Computer Vision Laboratory, Stanford University, Stanford, USA
  • Prof. Abderrahmane Kheddar, CNRS-AIST JRL (Joint Robotics Laboratory), AIST, Tsukuba, Japan
    • Title:Human-Humanoid Haptic Joint Action
    • Abstract
  • Prof. Kazuhiro Kosuge, System Robotics Laboratory, School of Engineering, Tohoku University, Sendai, Japan
    • Title: Towards Real World Applications of Physical Human-Robot Interaction
    • Abstract
  • Prof. Yoshihiko Nakamura, Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan
    • Title: Toward Actuator Innovation for Physical Human-Robot Interaction
    • Abstract
  • Prof. Jae-Bok Song, Intelligent Robotics Laboratory, Department of Mechanical Engineering, Korea University, Korea
    • Title: Collision Detection and Safety Evaluation for Safe pHRI
    • Abstract
  • Prof. Shigeki Sugano, Intelligent Machine Laboratory, Department of Mechanical Engineering, Waseda University, Tokyo, Japan
    • Title: Independent Mobility for Human-Robot Symbiosis Environment
    • Abstract

List of topics

The topics of this workshop are, but are not limited to:

  • Physical human-robot interaction
  • Sensing and actuation principles for pHRI  
  • Safety measures and analysis for HRI
  • Design of human-friendly robots   
  • Interaction control and strategies in physical cooperation and interaction
  • Learning for pHRI
  • Biologically inspired principles for interaction between humans and robots
  • Planning and on-line adaptation of human-friendly motion
  • Application and evaluation of physical human-robot interaction in complex scenarios
  • Psychophysical and human-factor studies on the best sensory combination to interface humans and robots

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