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AAAI
2007
15 years 5 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
AAAI
2010
15 years 5 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
139
Voted
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 2 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
140
Voted
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
15 years 1 months ago
Utilizing reflection properties of surfaces to improve mobile robot localization
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...
Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wo...
CVPR
2007
IEEE
16 years 5 months ago
Regression tracking with data relevance determination
This paper 1 addresses the problem of efficient visual 2D template tracking in image sequences. We adopt a discriminative approach in which the observations at each frame yield di...
Ioannis Patras, Edwin R. Hancock