Results 201 to 210 of about 127,526 (231)
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Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 2015
This paper presents a novel algorithm for real-time path-planning in a dynamic environment such as a computer game. We utilize a real-time sampling approach based on the Rapidly Exploring Random Tree (RRT) algorithm that has enjoyed wide success in robotics. More specifically, our algorithm is based on the RRT* and informed RRT* variants. We contribute
Rajamäki, Joose +3 more
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This paper presents a novel algorithm for real-time path-planning in a dynamic environment such as a computer game. We utilize a real-time sampling approach based on the Rapidly Exploring Random Tree (RRT) algorithm that has enjoyed wide success in robotics. More specifically, our algorithm is based on the RRT* and informed RRT* variants. We contribute
Rajamäki, Joose +3 more
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RRT: MODALITIES - ANTICOAGULATION
Acta Clinica Belgica, 2007(2007). RRT: MODALITIES - ANTICOAGULATION. Acta Clinica Belgica: Vol. 62, No. sup2, pp. 362-364.
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Steps toward derandomizing RRTs
Proceedings of the Fourth International Workshop on Robot Motion and Control (IEEE Cat. No.04EX891), 2004We present two new motion planning algorithms, based on the rapidly exploring random tree (RRT) family of algorithms. These algorithms represent the first work in the direction of derandomizing RRTs; this is a very challenging problem due to the way randomization is used in RRTs.
Stephen R. Lindemann, Steven M. LaValle
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RRT-blossom: RRT with a local flood-fill behavior
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006This paper proposes a new variation of the RRT planner which demonstrates good performance on both loosely-constrained and highly-constrained environments. The key to the planner is an implicit flood-fill-like mechanism, a technique that is well suited to escaping local minima in highly constrained problems.
M. Kalisiak, M. van de Panne
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2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
Reachable volumes are a new technique that allows one to efficiently restrict sampling to feasible/reachable regions of the planning space even for high degree of freedom and highly constrained problems. However, they have so far only been applied to graph-based sampling-based planners.
McMahon, Troy; id_orcid 0009-0003-6910-7383 +2 more
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Reachable volumes are a new technique that allows one to efficiently restrict sampling to feasible/reachable regions of the planning space even for high degree of freedom and highly constrained problems. However, they have so far only been applied to graph-based sampling-based planners.
McMahon, Troy; id_orcid 0009-0003-6910-7383 +2 more
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Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006
We present a replanning algorithm for repairing rapidly-exploring random trees when changes are made to the configuration space. Instead of abandoning the current RRT, our algorithm efficiently removes just the newly-invalid parts and maintains the rest. It then grows the resulting tree until a new solution is found.
D. Ferguson, N. Kalra, A. Stentz
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We present a replanning algorithm for repairing rapidly-exploring random trees when changes are made to the configuration space. Instead of abandoning the current RRT, our algorithm efficiently removes just the newly-invalid parts and maintains the rest. It then grows the resulting tree until a new solution is found.
D. Ferguson, N. Kalra, A. Stentz
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AEB-RRT*: an adaptive extension bidirectional RRT* algorithm
Autonomous Robots, 2022Xuewu Wang +4 more
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Narrow passage RRT*: a new variant of RRT*
International Journal of Computational Vision and Robotics, 2022Amine Belaid +2 more
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Cloud RRT*: Sampling Cloud based RRT*
2014 IEEE International Conference on Robotics and Automation (ICRA), 2014Donghyuk Kim +2 more
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