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» Combining planning and motion planning
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62
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ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
15 years 3 months ago
Learning-Assisted Multi-Step Planning
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
73
Voted
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
15 years 3 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
ROBOTICA
2002
72views more  ROBOTICA 2002»
14 years 9 months ago
Point-to-Point trajectory planning of flexible redundant robot manipulators using genetic algorithms
: The paper focuses on the problem of point-to-point trajectory planning for flexible redundant robot manipulators (FRM) in joint space. Compared with irredundant flexible manipula...
Shigang Yue, Dominik Henrich, W. L. Xu, S. K. Tso
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
15 years 1 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
63
Voted
AIR
2000
91views more  AIR 2000»
14 years 9 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara