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. 1807.08325
  4. Cited By
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning
  in Cluttered Environments

Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments

22 July 2018
Zaid Tahir
A. H. Qureshi
Y. Ayaz
R. Nawaz
ArXivPDFHTML

Papers citing "Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments"

5 / 5 papers shown
Title
Potential Functions based Sampling Heuristic For Optimal Path Planning
Potential Functions based Sampling Heuristic For Optimal Path Planning
A. H. Qureshi
Y. Ayaz
38
193
0
02 Apr 2017
Intelligent bidirectional rapidly-exploring random trees for optimal
  motion planning in complex cluttered environments
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments
A. H. Qureshi
Y. Ayaz
34
197
0
27 Mar 2017
Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct
  Sampling of an Admissible Ellipsoidal Heuristic
Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic
Jonathan Gammell
S. Srinivasa
Timothy D. Barfoot
50
831
0
08 Apr 2014
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
82
4,660
0
05 May 2011
Incremental Sampling-based Algorithms for Optimal Motion Planning
Incremental Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
117
804
0
03 May 2010
1