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ECML
2006
Springer
14 years 1 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
IROS
2009
IEEE
227views Robotics» more  IROS 2009»
14 years 4 months ago
Cell-RRT: Decomposing the environment for better plan
— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
Julien Guitton, Jean-Loup Farges, Raja Chatila
ICRA
2007
IEEE
144views Robotics» more  ICRA 2007»
14 years 4 months ago
Particle RRT for Path Planning with Uncertainty
— This paper describes a new extension to the Rapidly–exploring Random Tree (RRT) path planning algorithm. The Particle RRT algorithm explicitly considers uncertainty in its do...
Nik A. Melchior, Reid G. Simmons
ICRA
2010
IEEE
179views Robotics» more  ICRA 2010»
13 years 7 months ago
Needle path planning for digital breast tomosynthesis biopsy
This paper presents a new needle path planning method for digital breast tomosynthesis biopsy. Needle insertion planning into deformable tissue for breast biopsy procedure is a cha...
Laurence Vancamberg, Anis Sahbani, Serge Muller, G...
IROS
2009
IEEE
154views Robotics» more  IROS 2009»
14 years 4 months ago
A control-based approach to task-constrained motion planning
Abstract— We consider the problem of planning collisionfree motions for general (i.e., possibly nonholonomic) redundant robots subject to task space constraints. Previous approac...
Giuseppe Oriolo, Marilena Vendittelli