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» Probabilistic inference for structured planning in robotics
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AIPS
2009
13 years 6 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
AAAI
1994
13 years 6 months ago
The Automated Mapping of Plans for Plan Recognition
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...
IROS
2007
IEEE
206views Robotics» more  IROS 2007»
13 years 11 months ago
Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces
— In this paper, we propose a new method for the motion planning problem of rigid object dexterous manipulation with a robotic multi-fingered hand, under quasi-static movement a...
Jean-Philippe Saut, Anis Sahbani, Sahar El-Khoury,...
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 3 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
AAAI
2011
12 years 5 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney