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DCG
1998
53views more  DCG 1998»
13 years 9 months ago
Motion Planning in Environments with Low Obstacle Density
We present a simple and e cient paradigm for computing the exact solution of the motionplanning problem in environments with a low obstacle density. Such environments frequently o...
A. Frank van der Stappen, Mark H. Overmars, Mark d...
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 10 months ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli
ICRA
2003
IEEE
120views Robotics» more  ICRA 2003»
14 years 3 months ago
Extracting optimal paths from roadmaps for motion planning
We present methods for extracting optimal paths from motion planning roadmaps. Our system enables any combination of optimization criteria, such as collision detection, kinematic/...
Jinsuck Kim, Roger A. Pearce, Nancy M. Amato
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
14 years 3 months ago
Incremental low-discrepancy lattice methods for motion planning
We present deterministic sequences for use in sampling-based approaches to motion planning. They simultaneously combine the qualities found in many other sequences: i) the increme...
Stephen R. Lindemann, Steven M. LaValle
IJRR
2002
85views more  IJRR 2002»
13 years 9 months ago
On Motion Planning for Robotic Manipulation with Permanent Rolling Contacts
We address the motion planning problem (open-loop trajectory design) for manipulating rigid bodies with permanent rolling contact without slipping. This problem is related in part...
Bálint Kiss, Jean Lévine, Bél...