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» Motion Planning with Uncertainty
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IROS
2009
IEEE
163views Robotics» more  IROS 2009»
14 years 3 months ago
On the performance of random linear projections for sampling-based motion planning
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
Ioan Alexandru Sucan, Lydia E. Kavraki
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
14 years 2 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
PUK
2000
13 years 10 months ago
Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Jun Miura, Yoshiaki Shirai
ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
14 years 2 months ago
Comparison of Alternate Methods for Distributed Motion Planning of Robot Collectives within a Potential Field Framework
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...
Leng-Feng Lee, Rajankumar Bhatt, Venkat Krovi
ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
14 years 2 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