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» POMDP Planning for Robust Robot Control
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AAAI
2010
13 years 9 months ago
Automatic Derivation of Finite-State Machines for Behavior Control
Finite-state controllers represent an effective action selection mechanisms widely used in domains such as video-games and mobile robotics. In contrast to the policies obtained fr...
Blai Bonet, Héctor Palacios, Hector Geffner
HRI
2007
ACM
13 years 11 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
ICRA
2008
IEEE
162views Robotics» more  ICRA 2008»
14 years 2 months ago
A control architecture for quadruped locomotion over rough terrain
— Legged robots have the potential to navigate a much larger variety of terrain than their wheeled counterparts. In this paper we present a hierarchical control architecture that...
J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
14 years 2 months ago
Modeling and motion planning for mechanisms on a non-inertial base
— Robotic manipulators on ships and platforms suffer from large inertial forces due to the non-inertial motion of the ship or platform. When operating in high sea state, operatio...
Pål Johan From, Vincent Duindam, Jan Tommy G...
ALGORITHMICA
2000
76views more  ALGORITHMICA 2000»
13 years 7 months ago
Visibility-Based Planning of Sensor Control Strategies
Abstract. We consider the problem of planning sensor control strategies that enable a sensor to be automatically configured for robot tasks. In this paper we present robust and eff...
Amy J. Briggs, Bruce Randall Donald