Robotics & Machine Learning Daily News2024,Issue(Sep.5) :57-57.

Findings on Robotics Discussed by Investigators at Liaocheng University (An Impr oved Iterated Greedy Algorithm for Solving Rescue Robot Path Planning Problem Wi th Limited Survival Time)

Robotics & Machine Learning Daily News2024,Issue(Sep.5) :57-57.

Findings on Robotics Discussed by Investigators at Liaocheng University (An Impr oved Iterated Greedy Algorithm for Solving Rescue Robot Path Planning Problem Wi th Limited Survival Time)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Robotics are discussed in a new report. According to news reporting originatingin Liaocheng, People’s Repub lic of China, by NewsRx journalists, research stated, “Effective path planningi s crucial for mobile robots to quickly reach rescue destination and complete res cue tasks in a post-disasterscenario. In this study, we investigated the post-d isaster rescue path planning problem and modeled thisproblem as a variant of th e travel salesman problem (TSP) with life-strength constraints.”

Key words

Liaocheng/People’s Republic of China/A sia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Liaoc heng University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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