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» Sampling-Based Motion Planning With Sensing Uncertainty
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ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
13 years 10 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
IROS
2008
IEEE
113views Robotics» more  IROS 2008»
13 years 10 months ago
Motion planning for urban driving using RRT
— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
ICRA
2000
IEEE
109views Robotics» more  ICRA 2000»
13 years 8 months ago
Computing the Sensory Uncertainty Field of a Vision-Based Localization Sensor
—Recently it has been recognized that robust motion planners should take into account the varying performance of localization sensors across the configuration space. Although a n...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
DRUMS
1998
Springer
13 years 8 months ago
Handling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speci cally engineered for them. These environm...
Alessandro Saffiotti