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» Balancing exploration and exploitation in motion planning
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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
13 years 11 months ago
Balancing exploration and exploitation in motion planning
— Computationally efficient motion planning must avoid exhaustive exploration of configuration space. We argue that this can be accomplished most effectively by carefully balan...
Markus Rickert, Oliver Brock, Alois Knoll
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
13 years 10 months ago
Single-Query Entropy-Guided Path Planning
Motion planning for robots with many degrees of freedom requires the exploration of an exponentially large configuration space. Single-query motion planners restrict exploration ...
Brendan Burns, Oliver Brock
ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
13 years 10 months ago
Sampling-Based Motion Planning Using Predictive Models
— Robotic motion planning requires configuration space exploration. In high-dimensional configuration spaces, a complete exploration is computationally intractable. Practical m...
Brendan Burns, Oliver Brock
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 4 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
ICRA
1994
IEEE
147views Robotics» more  ICRA 1994»
13 years 8 months ago
Provable Strategies for Vision-Guided Exploration in Three Dimensions
An approach is presented for exploring an unknown, arbitrary surface in three-dimensional (3D) space by a mobile robot. The main contributions are (1) an analysis of the capabilit...
Kiriakos N. Kutulakos, Charles R. Dyer, Vladimir J...