Robotics & Machine Learning Daily News2024,Issue(Aug.8) :29-29.

Tianjin Chengjian University Researcher Reports Recent Findings in Robotics (Imp roved A* Algorithm for Mobile Robots under Rough Terrain Based on Ground Traffic ability Model and Ground Ruggedness Model)

Robotics & Machine Learning Daily News2024,Issue(Aug.8) :29-29.

Tianjin Chengjian University Researcher Reports Recent Findings in Robotics (Imp roved A* Algorithm for Mobile Robots under Rough Terrain Based on Ground Traffic ability Model and Ground Ruggedness Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in robotics. Accordin g to news reporting from Tianjin, People’sRepublic of China, by NewsRx journali sts, research stated, “Considering that the existing path planningalgorithms fo r mobile robots under rugged terrain do not consider the ground flatness and the lack ofoptimality, which leads to the instability of the center of mass of the mobile robot, this paper proposes animproved A* algorithm for mobile robots un der rugged terrain based on the ground accessibility modeland the ground rugged ness model.”

Key words

Tianjin Chengjian University/Tianjin/P eople’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Lear ning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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