220 search results - page 22 / 44 » Path planning using learned constraints and preferences |
ICRA
2006
IEEE
15 years 3 months ago
2006
IEEE
— The dangerous and time sensitive nature of a disaster area makes it an ideal application for robotic exploration. Our long term goal is to enable humans, software agents, and a...
67
Voted
IROS
2008
IEEE
15 years 4 months 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 ...
82
Voted
IROS
2008
IEEE
15 years 4 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...
90
Voted
ICCBR
2009
Springer
15 years 4 months ago
2009
Springer
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
96
Voted
ICRA
1999
IEEE
15 years 1 months ago
1999
IEEE
With the success of Mars Pathfinder's Sojourner rover, a new era of planetary exploration has opened, with demand for highly capable mobile robots. These robots must be able ...