11 search results - page 2 / 3 » Learning to Predict Slip for Ground Robots |
IROS
2008
IEEE
14 years 1 days ago
2008
IEEE
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
IROS
2007
IEEE
13 years 12 months ago
2007
IEEE
— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
IROS
2009
IEEE
14 years 8 days ago
2009
IEEE
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
JFR
2006
13 years 5 months ago
2006
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
AAAI
2011
12 years 5 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...