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» An Algorithm for Probabilistic Least-Commitment Planning
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KR
2004
Springer
15 years 3 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
15 years 3 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy
ICML
2000
IEEE
15 years 10 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
AIPS
2006
14 years 11 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
IROS
2009
IEEE
261views Robotics» more  IROS 2009»
15 years 4 months ago
Probabilistic motion planning among moving obstacles following typical motion patterns
— The paper presents a navigation algorithm for dynamic, uncertain environment. The static environment is unknown, while moving pedestrians are detected and tracked on-line. Pede...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...