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NH-TTC: A gradient-based framework for generalized anticipatory
  collision avoidance

NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance

12 July 2019
Bobby Davis
Ioannis Karamouzas
S. Guy
ArXiv (abs)PDFHTML

Papers citing "NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance"

4 / 4 papers shown
Title
Efficient Reciprocal Collision Avoidance between Heterogeneous Agents
  Using CTMAT
Efficient Reciprocal Collision Avoidance between Heterogeneous Agents Using CTMAT
Yuexin Ma
Tianyi Zhou
Wenping Wang
51
18
0
07 Apr 2018
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent
  Navigation
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation
Pinxin Long
Wenxi Liu
Jia Pan
50
166
0
22 Sep 2016
Asymptotically Optimal Sampling-based Kinodynamic Planning
Asymptotically Optimal Sampling-based Kinodynamic Planning
Yanbo Li
Zakary Littlefield
Kostas E. Bekris
100
267
0
10 Jul 2014
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
1