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» Statistical Learning for Humanoid Robots
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ICML
2009
IEEE
16 years 15 days 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
15 years 4 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»
15 years 5 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»
15 years 4 months 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»
14 years 11 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