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» Continuous State POMDPs for Object Manipulation Tasks
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IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 1 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
14 years 1 months ago
A Motion Planner for a Hybrid Robotic System with Kinodynamic Constraints
— The rapidly increasing complexity of tasks robotic systems are expected to carry out underscores the need for the development of motion planners that can take into account disc...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi
NIPS
2007
13 years 8 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
CVPR
2007
IEEE
14 years 9 months ago
Image representations beyond histograms of gradients: The role of Gestalt descriptors
Histograms of orientations and the statistics derived from them have proven to be effective image representations for various recognition tasks. In this work we attempt to improve...
Stanley M. Bileschi, Lior Wolf
IOR
2007
106views more  IOR 2007»
13 years 7 months ago
Planning and Scheduling by Logic-Based Benders Decomposition
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve an important class of planning and scheduling problems. Tasks are allocated to faciliti...
John N. Hooker