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ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
13 years 11 months ago
Sampling-Based Motion Planning With Sensing Uncertainty
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
Brendan Burns, Oliver Brock
IJRR
2008
101views more  IJRR 2008»
13 years 5 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...
AIPS
2010
13 years 7 months ago
Combined Task and Motion Planning for Mobile Manipulation
We present a hierarchical planning system and its application to robotic manipulation. The novel features of the system are: 1) it finds high-quality kinematic solutions to task-l...
Jason Wolfe, Bhaskara Marthi, Stuart J. Russell

Publication
273views
13 years 18 days ago
Monte Carlo Value Iteration for Continuous-State POMDPs
Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot motion planning tasks under uncertainty. However, most existing POMDP algo...
Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo
IJRR
2010
162views more  IJRR 2010»
13 years 3 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...