Workshop Information

Workshop on Human Motion Modeling and
Human-inspired Motor Control

2014 IEEE-RAS Humanoid
November, 18th 2014
Madrid, Spain

Statement of Objectives:

In recent years, there has been a surge of interest in developing robotics tools for rehabilitation and motion assistance, such as exoskeletons, motion guidance robots
and active neuroprostheses. A key challenge with these
applications is designing systems which are capable of
acting in synchrony with the human user, providing assistance when needed and guiding the user to perform
proper physical actions. This implies the need for accurate human motion modeling and intent estimation, as well as developing an understanding human adaptation to the assistive device and performance of the human-robot system, where human motion analysis tools play a key role. In addition, Human-inspired motor control is essential element both for understanding basic principles in motor control with redundant neuromusculoskeletal system and for enhancing robotic control toward human-like motion.
 
The workshop aims at bringing together researchers from
robotics and neuroscience in motor control to share the
latest computational techniques in human-centered motion modelling and control, as well as to discuss the emerging perspectives and applications resulting from such advances. It covers aspects commonly associated with bioinspiration, human-like control, neurophysiology, as well as topics from neuroscience regarding motor control. This intersection of fields of study has been a rich ground for cross-fertilisation, where we see many members of our research community contributing significantly to both the fundamental techniques as well as the development of applications in this area.
 
This half-day workshop is intended to highlight the latest
work in this intersection and to strengthen the efforts to
bridge the gap between robotics and human motor control research.

Organizers:

Dr. Emel Demircan

Artificial Intelligence Laboratory, Department of Computer Science, Stanford University, Stanford, USA.
Email: emeld@stanford.edu

 

Prof. Oussama Khatib

Artificial Intelligence Laboratory, Department of Computer Science, Stanford University, Stanford, USA.
Email: ok@cs.stanford.edu


Prof. Philippe Fraisse

LIRMM, Universite de Montpellier II, France.
Email: fraisse@lirmm.fr

Dr. Mitsuhiro Hayashibe

INRIA, Universite de Montpellier II, France.
Email: hayashibe@lirmm.fr


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