A biologically inspired robotic model for learning by imitation

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A biologically inspired robotic model for learning by imitation

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International Conference on Autonomous Agents archive
Proceedings of the fourth international conference on Autonomous agents table of contents

Barcelona, Spain

Pages: 373 - 380

Year of Publication: 2000

ISBN:1-58113-230-1

Authors

Aude Billard	Computer Science Department, University of Southern California, Los Angeles, California
Maja J. Matarić	Computer Science Department, University of Southern California, Los Angeles, California

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
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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Downloads (6 Weeks): 13, Downloads (12 Months): 64, Citation Count: 5

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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.

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CITED BY 5

	Michael van Lent , John E. Laird, Learning procedural knowledge through observation, Proceedings of the 1st international conference on Knowledge capture, October 22-23, 2001, Victoria, British Columbia, Canada
	Matthew W. Hoffman , David B. Grimes , Aaron P. Shon , Rajesh P. N. Rao, A probabilistic model of gaze imitation and shared attention, Neural Networks, v.19 n.3, p.299-310, April 2006
	Heather Yu , Xiangyang Kong , Wayne Wolf, Techniques for Content-Based Graph Authentication, IEEE MultiMedia, v.8 n.4, p.38-45, October 2001
	Maja J. Mataric, Getting Humanoids to Move and Imitate, IEEE Intelligent Systems, v.15 n.4, p.18-24, July 2000
	Maja J. Mataric, Sensory-motor primitives as a basis for imitation: linking perception to action and biology to robotics, Imitation in animals and artifacts, MIT Press, Cambridge, MA, 2002