25 search results - page 2 / 5 » A formal framework for robot learning and control under mode... |
IROS
2008
IEEE
14 years 19 days ago
2008
IEEE
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
ICRA
2007
IEEE
14 years 16 days ago
2007
IEEE
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
CP
2004
Springer
13 years 11 months ago
2004
Springer
In real-life temporal scenarios, uncertainty and preferences are often essential, coexisting aspects. We present a formalism where temporal constraints with both preferences and un...
ICRA
2003
IEEE
13 years 11 months ago
2003
IEEE
— We present a framework for composing motor controllers into autonomous composite reactive behaviors for bipedal robots and autonomous, physically-simulated humanoids. A key con...
HRI
2010
ACM
13 years 11 months ago
2010
ACM
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...