355 search results - page 13 / 71 » Motion Planning with Uncertainty: The Information Space Appr... |
AIPS
2007
14 years 12 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
MICAI
2005
Springer
15 years 3 months ago
2005
Springer
We propose a framework for reactive motion and sensing planning based on critical events. A critical event amounts to crossing a critical curve, which divides the environment. We h...
AIPS
2009
14 years 10 months ago
2009
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
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ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— We present a global vector field computation algorithm in configuration spaces for smooth feedback motion planning. Our algorithm performs approximate cell decomposition in t...
DCG
1998
14 years 9 months ago
1998
We present a simple and e cient paradigm for computing the exact solution of the motionplanning problem in environments with a low obstacle density. Such environments frequently o...