175 search results - page 2 / 35 » Learning humanoid reaching tasks in dynamic environments |
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
ICRA
2009
IEEE
13 years 11 months ago
2009
IEEE
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
TROB
2010
12 years 11 months ago
2010
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...