128 search results - page 16 / 26 » Planning, Execution and Learning in a Robotic Agent |
104
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AAAI
2004
15 years 1 months ago
2004
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
102
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ICRA
2009
IEEE
14 years 9 months ago
2009
IEEE
Abstract-- In this paper, we consider the problem of mobile robots navigating in environments with non-rigid objects. Whereas robots can plan their paths more effectively when they...
117
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AAAI
2012
13 years 2 months ago
2012
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
ATAL
2000
Springer
15 years 4 months ago
2000
Springer
Agents often have preference models that are more complicated than minimizing the expected execution cost. In this paper, we study how they should act in the presence of uncertaint...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...