Sensor-based manipulation planning as a game with nature
Proceedings of the 4th international symposium on Robotics Research
A Bayesian approach to optimal sensor placement
International Journal of Robotics Research
Planning tactile recognition paths in two and three dimensions
International Journal of Robotics Research
Shape recovery from passive locally dense tactile data
WAFR '98 Proceedings of the third workshop on the algorithmic foundations of robotics on Robotics : the algorithmic perspective: the algorithmic perspective
Robot Motion Planning
International Journal of Robotics Research
Planning Algorithms
Near-optimal observation selection using submodular functions
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Object recognition using vision and touch
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Probabilistic mobile manipulation in dynamic environments, with application to opening doors
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Stable grasping under pose uncertainty using tactile feedback
Autonomous Robots
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This paper presents a decision-theoretic approach to problems that require accurate placement of a robot relative to an object of known shape, such as grasping for assembly or tool use. The decision process is applied to a robot hand with tactile sensors, to localize the object on a table and ultimately achieve a target placement by selecting among a parameterized set of grasping and information-gathering trajectories. The process is demonstrated in simulation and on a real robot. This work has been previously presented in Hsiao et al. (Workshop on Algorithmic Foundations of Robotics (WAFR), 2008; Robotics Science and Systems (RSS), 2010) and Hsiao (Relatively robust grasping, Ph.D. thesis, Massachusetts Institute of Technology, 2009).