RE-RRT* algorithm’s searching schematic diagram.

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
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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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