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» Motion planning under uncertainty for robotic tasks with lon...
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ATAL
2010
Springer
13 years 5 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ICCV
2003
IEEE
14 years 6 months ago
Real-Time Simultaneous Localisation and Mapping with a Single Camera
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...
Andrew J. Davison
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
13 years 10 months ago
MRSAM: a Quadratically Competitive Multi-robot Online Navigation Algorithm
— We explore an online problem where a group of robots has to find a target whose position is unknown in an unknown planar environment whose geometry is acquired by the robots d...
Shahar Sarid, Amir Shapiro, Yoav Gabriely