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» Motion Planning in Environments with Low Obstacle Density
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FSR
2007
Springer
135views Robotics» more  FSR 2007»
14 years 1 months ago
State Space Sampling of Feasible Motions for High Performance Mobile Robot Navigation in Highly Constrained Environments
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
Thomas M. Howard, Colin J. Green, Alonzo Kelly
IROS
2008
IEEE
165views Robotics» more  IROS 2008»
14 years 1 months ago
Probabilistic navigation in dynamic environment using Rapidly-exploring Random Trees and Gaussian processes
— The paper describes a navigation algorithm for dynamic, uncertain environment. Moving obstacles are supposed to move on typical patterns which are pre-learned and are represent...
Chiara Fulgenzi, Christopher Tay, Anne Spalanzani,...
ICRA
2007
IEEE
132views Robotics» more  ICRA 2007»
14 years 1 months ago
Smooth Feedback for Car-Like Vehicles in Polygonal Environments
— We introduce a method for constructing provably safe smooth feedback laws for car-like robots in obstaclecluttered polygonal environments. The robot is taken to be a point with...
Stephen R. Lindemann, Steven M. LaValle
IROS
2006
IEEE
217views Robotics» more  IROS 2006»
14 years 1 months ago
Integrating Perception and Planning for Autonomous Navigation of Urban Vehicles
— The paper addresses the problem of autonomous navigation of a car-like robot evolving in an urban environment. Such an environment exhibits an heterogeneous geometry and is clu...
Rodrigo Benenson, Stéphane Petti, Thierry F...
SWAT
1998
Springer
84views Algorithms» more  SWAT 1998»
13 years 11 months ago
Models and Motion Planning
We study the complexity of the motion planning problem for a bounded-reach robot in the situation where the n obstacles in its workspace satisfy two of the realistic models propos...
Mark de Berg, Matthew J. Katz, Mark H. Overmars, A...