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AAAI
2000
13 years 10 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
ECCV
2000
Springer
14 years 29 days ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
ICRA
2010
IEEE
132views Robotics» more  ICRA 2010»
13 years 7 months ago
Combining planning techniques for manipulation using realtime perception
Abstract— We present a novel combination of motion planning techniques to compute motion plans for robotic arms. We compute plans that move the arm as close as possible to the go...
Ioan Alexandru Sucan, Mrinal Kalakrishnan, Sachin ...
AIPS
2006
13 years 10 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
CDC
2010
IEEE
170views Control Systems» more  CDC 2010»
13 years 3 months ago
Motion planning with hybrid dynamics and temporal goals
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...
Amit Bhatia, Lydia E. Kavraki, Moshe Y. Vardi