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ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 17 days ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 17 days ago
Managing non-determinism in symbolic robot motion planning and control
Abstract— We study the problem of designing control strategies for nondeterministic transitions systems enforcing the satisfaction of Linear Temporal Logic (LTL) formulas over th...
Marius Kloetzer, Calin Belta
ICRA
2002
IEEE
108views Robotics» more  ICRA 2002»
13 years 11 months ago
Towards Sensor Based Coverage with Robot Teams
We introduce a new algorithm to cover an unknown space with a homogeneous team of circular mobile robots. Our approach is based on a single robot coverage algorithm, a boustrophed...
DeWitt Latimer IV, Siddhartha S. Srinivasa, Vincen...
ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
14 years 17 days 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
RSS
2007
136views Robotics» more  RSS 2007»
13 years 7 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...