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Toward Optimal Configuration Space Sampling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Machine Learning Approach for Feature-Sensitive Motion Planning
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Locally Weighted Learning
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Active Sampling for Class Probability Estimation and Ranking
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Theory of games and economic behavior
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Probabilistic roadmaps for path planning in high-dimensional configuration spaces
inferredcites →https://doi.org/10.1109/iros.2003.1250703openalex-snapshot
Information theoretic construction of probabilistic roadmaps
inferredcites →https://doi.org/10.1109/iros.2005.1545607openalex-snapshot
Adaptive tuning of the sampling domain for dynamic-domain RRTs
inferredcites →https://doi.org/10.1109/robot.1999.772447openalex-snapshot
The Gaussian sampling strategy for probabilistic roadmap planners
inferredcites →https://doi.org/10.1109/robot.2000.844795openalex-snapshot
A framework for using the workspace medial axis in PRM planners
inferredcites →https://doi.org/10.1109/robot.2003.1242285openalex-snapshot
The bridge test for sampling narrow passages with probabilistic roadmap planners
inferredcites →https://doi.org/10.1109/robot.2004.1302411openalex-snapshot
Adapting the sampling distribution in PRM planners based on an approximated medial axis
inferredcites →https://doi.org/10.1109/robot.2005.1570709openalex-snapshot
Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain
inferredcites →https://doi.org/10.1109/robot.2005.1570712openalex-snapshot
Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy
inferredcites →https://doi.org/10.1163/156855300741960openalex-snapshot
Visibility-based probabilistic roadmaps for motion planning
inferredcites →https://doi.org/10.1201/9781439863886-18openalex-snapshot
On Finding Narrow Passages with Probabilistic Roadmap Planners
inferredcites →https://doi.org/10.1201/9781439863886-19openalex-snapshot
OBPRM: An Obstacle-Based PRM for 3D Workspaces
inferredcites →https://doi.org/10.1201/9781439864135-43openalex-snapshot
Rapidly-Exploring Random Trees: Progress and Prospects
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Theory of Games and Economic Behavior
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Planning Motion in Environments with Similar Obstacles
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