Showing 101 - 120 results of 1,297 for search '"motion planning"', query time: 0.14s Refine Results
  1. 101

    Admissible Abstractions for Near-optimal Task and Motion Planning by Vega-Brown, William R, Roy, Nicholas

    Published 2020
    “…We define an admissibility condition for abstractions expressed using angelic semantics and show that these conditions allow us to accelerate planning while preserving the ability to find the optimal motion plan. We then derive admissible abstractions for two motion planning domains with continuous state. …”
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    Article
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    Chance Constrained Motion Planning for High-Dimensional Robots by Dai, Siyu, Schaffert, Shawn, Jasour, Ashkan, Hofmann, Andreas, Williams, Brian C

    Published 2021
    “…This paper introduces Probabilistic Chekov (p-Chekov), a chance-constrained motion planning system that can be applied to high degree-of-freedom (DOF) robots under motion uncertainty and imperfect state information. …”
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    Article
  6. 106

    Sample-Based Methods for Factored Task and Motion Planning by Garrett, Caelan, Lozano-Perez, Tomas, Kaelbling, Leslie

    Published 2021
    “…There has been a great deal of progress in developing probabilistically complete methods that move beyond motion planning to multi-modal problems including various forms of task planning. …”
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    Article
  7. 107

    Perception-Driven Sparse Graphs for Optimal Motion Planning by Sayre-McCord, Thomas, Karaman, Sertac

    Published 2021
    “…© 2018 IEEE. Most existing motion planning algorithms assume that a map (of some quality) is fully determined prior to generating a motion plan. …”
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    Article
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    Perception and Motion Planning for Autonomous Surface Vehicles in Aquaculture by Zhang, Jerry

    Published 2022
    “…The details explored in this project and discussed in the thesis focus on the perception and motion planning aspects of the proposed autonomous system. …”
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    Thesis
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    Monte Carlo Methods for Motion Planning and Goal Inference by Kondic, Jovana

    Published 2024
    “…To address these needs, we introduce a framework that captures the stochastic nature of motion planning and prediction through Monte Carlo sampling techniques. …”
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    Thesis
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  20. 120

    A lightweight robot for motion planning in industrial settings by Long, Zhaowen

    Published 2015
    “…Yet, the complexity of motion planning for the robot remains a major hurdle preventing small and median enterprises (SMEs) from enjoying its benefits. …”
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    Final Year Project (FYP)