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» POMDP Planning for Robust Robot Control
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AAAI
2010
14 years 11 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
94
Voted
HRI
2007
ACM
15 years 1 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
80
Voted
ICRA
2008
IEEE
162views Robotics» more  ICRA 2008»
15 years 4 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
68
Voted
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
15 years 4 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»
14 years 9 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