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ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
14 years 4 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
AROBOTS
2005
100views more  AROBOTS 2005»
13 years 11 months ago
A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets
This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The target...
Rafael Murrieta-Cid, Benjamín Tovar, Seth H...
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 11 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
2005
IEEE
121views Robotics» more  ICRA 2005»
14 years 4 months ago
Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning
Abstract— High-dimensional problems arising from complex robotic systems test the limits of current motion planners and require the development of efficient distributed motion p...
Erion Plaku, Lydia E. Kavraki
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 6 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli