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Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach

Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach

Nan Wang
R. Sanfelice
ArXiv (abs)PDFHTML

Papers citing "Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach"

5 / 5 papers shown
Title
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN3DV
96
218
0
13 Jul 2019
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation
Michal Kleinbort
Kiril Solovey
Zakary Littlefield
Kostas E. Bekris
Dan Halperin
38
82
0
19 Sep 2018
Asymptotically Optimal Sampling-based Kinodynamic Planning
Asymptotically Optimal Sampling-based Kinodynamic Planning
Yanbo Li
Zakary Littlefield
Kostas E. Bekris
85
267
0
10 Jul 2014
Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning
Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning
Kiril Solovey
Oren Salzman
Dan Halperin
74
171
0
13 May 2013
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
107
4,700
0
05 May 2011

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