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» Motion Planning in Environments with Low Obstacle Density
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DCG
1998
53views more  DCG 1998»
13 years 4 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...
WADS
1997
Springer
91views Algorithms» more  WADS 1997»
13 years 8 months ago
Dynamic Motion Planning in Low Obstacle Density Environments
A fundamental task for an autonomous robot is to plan its own motions. Exact approaches to the solution of this motion planning problem suffer from high worst-case running times. ...
Robert-Paul Berretty, Mark H. Overmars, A. Frank v...
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
13 years 10 months ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger
IROS
2009
IEEE
261views Robotics» more  IROS 2009»
13 years 11 months ago
Probabilistic motion planning among moving obstacles following typical motion patterns
— The paper presents a navigation algorithm for dynamic, uncertain environment. The static environment is unknown, while moving pedestrians are detected and tracked on-line. Pede...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...
ICRA
2003
IEEE
104views Robotics» more  ICRA 2003»
13 years 9 months ago
Enhancing the reactive capabilities of integrated planning and control with cooperative extended kohonen maps
— Despite the many significant advances made in robot motion research, few works have focused on the tight integration of high-level deliberative planning with reactive control ...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...