RE-RRT* algorithm’s searching schematic diagram.

<div><p>One of the key challenges in robotics is the motion planning problem. This paper presents a local trajectory planning and obstacle avoidance strategy based on a novel sampling-based path-finding algorithm designed for autonomous vehicles navigating complex environments. Although...

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Bibliographic Details
Main Author:	Naeem Ul Islam (19837966) (author)
Other Authors:	Kaynat Gul (19837969) (author), Faiz Faizullah (19837972) (author), Syed Sajid Ullah (17541507) (author), Ikram Syed (19837975) (author)
Published:	2024
Subjects:	Biophysics Cancer Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> one succeeding cycles continuously sluggish convergence rate including slow convergence unsmooth search routes high computational complexity diverse obstacle settings finding algorithm designed motion planning problem local trajectory planning dense sample space finding algorithm based sampling space efficiency motion planning sample space whole space unnecessary search trajectory optimization obstacle avoidance computational time based algorithms algorithm adapts sampling along rewire processes results demonstrate redundant searches paper presents novel sampling new sampling key challenges initial point goal point fewer iterations extensively employed extensive experiments choose parent based path although sampling
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RE-RRT* algorithm’s searching schematic diagram.

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