ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.13057
  4. Cited By
A Generalized A* Algorithm for Finding Globally Optimal Paths in
  Weighted Colored Graphs

A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs

24 December 2020
J. Lim
Panagiotis Tsiotras
ArXiv (abs)PDFHTML

Papers citing "A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs"

9 / 9 papers shown
Title
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced
  Graph-Search Techniques
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques
Marlin P. Strub
Jonathan Gammell
44
74
0
16 Feb 2020
MAMS-A*: Multi-Agent Multi-Scale A*
MAMS-A*: Multi-Agent Multi-Scale A*
J. Lim
Panagiotis Tsiotras
28
5
0
08 Oct 2019
Generalized Lazy Search for Robot Motion Planning: Interleaving Search
  and Edge Evaluation via Event-based Toggles
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
Aditya Mandalika
Sanjiban Choudhury
Oren Salzman
S. Srinivasa
53
58
0
04 Apr 2019
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and
  Tractable Policies
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies
Lucas Janson
Tommy Hu
Marco Pavone
58
41
0
16 Apr 2018
A Unifying Formalism for Shortest Path Problems with Expensive Edge
  Evaluations via Lazy Best-First Search over Paths with Edge Selectors
A Unifying Formalism for Shortest Path Problems with Expensive Edge Evaluations via Lazy Best-First Search over Paths with Edge Selectors
Christopher M. Dellin
S. Srinivasa
36
71
0
10 Mar 2016
FMAP: Distributed Cooperative Multi-Agent Planning
FMAP: Distributed Cooperative Multi-Agent Planning
Alejandro Torreño
Eva Onaindia
Óscar Sapena
39
100
0
28 Jan 2015
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the
  Heuristically Guided Search of Implicit Random Geometric Graphs
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
Jonathan Gammell
S. Srinivasa
Timothy D. Barfoot
76
450
0
22 May 2014
Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal
  Motion Planning in Many Dimensions
Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions
Lucas Janson
Edward Schmerling
Ashley Clark
Marco Pavone
67
529
0
15 Jun 2013
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
102
4,697
0
05 May 2011
1