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A model for imitating human reaching movements
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Source ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction table of contents
Salt Lake City, Utah, USA
POSTER SESSION: Short papers table of contents
Pages: 341 - 342  
Year of Publication: 2006
ISBN:1-59593-294-1
Authors
Micha Hersch  EPFL, Lausanne, Switzerland
Aude G. Billard  EPFL, Lausanne, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a model of human-like reaching movements. This model is then used to give a humanoid robot the ability to imitate human reaching motions. It illustrates that having a robot control similar to human control can greatly ease the human-robot interaction.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
H. Bekkering, A. Wohlschläger, and M. Gattis. Imitation of gestures in children is goal-directed. The Quarterly Journal of Experimental Psychology, 53A(1):153--164, 2000.
 
2
D. Bullock and S. Grossberg. Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation. Psychological Review, 1988.
 
3
M. Hersch and A. Billard. A biologically-inspired model of reaching movements. In Proceedings of the 2006 IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. In press.
 
4
J. Kelso. Dynamic Patterns: The Self-Organization of Brain and Behavior. MIT Press, 1995.

Collaborative Colleagues:
Micha Hersch: colleagues
Aude G. Billard: colleagues