543 search results - page 38 / 109 » A Theory of Plan Modification |
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
Motion planning for robots with many degrees of freedom requires the exploration of an exponentially large configuration space. Single-query motion planners restrict exploration ...
ICTAI
2005
IEEE
15 years 3 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
ATAL
2008
Springer
14 years 12 months ago
2008
Springer
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
ISMB
2000
14 years 11 months ago
2000
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...