ICRA2015 Workshop on "Compliant and Versatile Robot Control in Human Environments"


ICRA 2015 Workshop on "Compliant and Versatile Robot Control in Human Environments: Bridging the Gap between Learning and Control" 

Date: May 30, 2015, in the afternoon

Webpage http://cs.stanford.edu/people/khansari/ICRA2015/index.html

Workshop Overview

Currently, robot learning and compliant control are mainly studied in the two largely disconnected domains of machine learning and control theory, respectively. This workshop aims at bridging the gap between these two research fields in order to achieve compliant and versatile robots that can truly function in human environments. Robots with such capabilities can be extremely useful in various applications such as rehabilitation, assistive robots, human-robot collaboration, teleoperation as well as industrial and home service robotics.

In this half a day workshop, experts in the field of machine learning and robot control will present their latest achievements and discuss possible directions to integrate the various techniques required to create versatile robots

Scope and Topics

Due to its interdisciplinary nature, this workshop is supported by two IEEE RAS Technical Committees: Human-Robot Interaction & Coordination and Robot Learning. The workshop's topics cover, but are not limited to:

* Task transfer: 

  • Programming by demonstrations
  • Imitation learning
  • Reinforcement learning
  • Movement primitives

* Physical Interaction Control:

  • Force control
  • (Variable) impedance control
  • Hybrid control
  • Parallel control
  • Physical human-robot collaboration

* Learning for compliant manipulation: 

  • Learning variable impedance control
  • Learning force control
  • Learning to perform assembly
  • Learning to perform tooling tasks 

Keynote speakers:

  • Neville Hogan Massachusetts Institute of Technology
  • Stefan Schaal University of Southern California
  • Alin Albu-Schäffer DLR Institute of Robotics and Mechatronics

Panel members:

  • Alin Albu-Schäffer DLR Institute of Robotics and Mechatronics
  • Jan Babic Jozef Stefan Institute
  • Aude Billard EPF Lausanne
  • Jonas Buchli ETH Zurich
  • Neville Hogan Massachusetts Institute of Technology
  • Matthew Howard King’s College London
  • Oussama Khatib Stanford University
  • Stefan Schaal University of Southern California 

Organizers

  • Mohammad Khansari, Stanford University
  • Sylvain Calinon, Idiap Research Institute
  • Dongheui Lee, Technical University of Munich (TUM)
  • Oussama Khatib, Stanford University