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» Statistical Learning for Humanoid Robots
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ICML
2009
IEEE
14 years 8 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
HRI
2010
ACM
13 years 11 months ago
From manipulation to communicative gesture
— Assisting humans in their daily lives requires robots to be proficient in manual tasks and effective in communicating states/intentions with human users. This paper advocates ...
Shichao Ou, Roderic A. Grupen
ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
14 years 1 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
14 years 12 days ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric
AROBOTS
2002
102views more  AROBOTS 2002»
13 years 7 months ago
Recognition of Affective Communicative Intent in Robot-Directed Speech
Human speech provides a natural and intuitive interface for both communicating with humanoid robots as well as for teaching them. In general, the acoustic pattern of speech contain...
Cynthia Breazeal, Lijin Aryananda