A Lightweight, Intelligent Autonomous Exploration System for Indoor Robots Using Improved Random Walk With Back-Off Strategies

A Lightweight, Intelligent Autonomous Exploration System for Indoor Robots Using Improved Random Walk With Back-Off Strategies

Autonomous exploration in unstructured indoor settings requires effective navigation approaches to manage obstacles, dead ends, and resource constraints. Conventional algorithms, like the TurtleBot3 Drive (TB3), frequently struggle with inadequate area coverage, inefficient obstacle management, and...

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Bibliographic Details
Main Authors: Blesson Mathews Luke, S. Abraham Sampson
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autonomous exploration
Gazebo
Gmapping
mobile robots
random walk
ROS
Online Access:https://ieeexplore.ieee.org/document/10902371/
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https://ieeexplore.ieee.org/document/10902371/

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