COVERAGE PATH PLANNING BASED ON IMPROVED CELLULAR DECOMPOSITION, 301-310.

The traditional unit decomposition method for full coverage pathplanning in static environments overlooked the robot’s turningweight and failed to consider the input–output direction ofsub-regions when constructing the travelling salesman problem(TSP).

Authors

Publication Details

Journal
International Journal of Robotics and Automation
Published
2025-01-01
DOI
https://doi.org/10.2316/j.2025.206-1168
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

COVERAGE PATH PLANNING BASED ON IMPROVED CELLULAR DECOMPOSITION, 301-310.

Yuhe Qiu, Jian Zhou, Xinfu He, Hu He et al.
1 citations
International Journal of Robotics and Automation
Robotic Path Planning Algorithms
1.28
article

COVERAGE PATH PLANNING BASED ON IMPROVED CELLULAR DECOMPOSITION, 301-310.

Yuhe Qiu, Jian Zhou, Xinfu He, Hu He, Taihong Lv
article en
1 citations

Abstract

The traditional unit decomposition method for full coverage pathplanning in static environments overlooked the robot’s turningweight and failed to consider the input–output direction ofsub-regions when constructing the travelling salesman problem(TSP).

International Journal of Robotics and AutomationVol. 40(4)
Openalex Percentile: Top 19%
Robotic Path Planning Algorithms
1.28
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COVERAGE PATH PLANNING BASED ON IMPROVED CELLULAR DECOMPOSITION, 301-310. — Yuhe Qiu, Jian Zhou, et al. · International Journal of Robotics and Automation (2025) | TGRS Research Map | TGRS