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Research on Path Planning of Explosive Ordnance Disposal Robot Based on STM32 and Genetic Algorithm

Year: 2025

Type: conference-paper

Abstract: To solve the problems of slow response speed, unstable operation, and poor off-road performance of current explosive ordnance disposal robots, this paper not only studies the hardware design of explosive ordnance disposal robots based on STM32, but also investigates the path planning of explosive ordnance disposal robots based on genetic algorithms. This explosive disposal robot has the characteristics of rapid response, stability and reliability, and strong off-road capability. At the same time, the test results show that the path planning of the explosive disposal robot based on genetic algorithm can make the path smoother and reduce the walking distance.

DOI: 10.1145/3729706.3729809

Authors: Qiyan Yan, Zhibin Xiao, Yali Huang, Lixin Ma

Institution: Guangdong University of Science and Technology

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Guangdong University of Science and Technology

OpenAlex ID: W4411846461

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