Robotics & Machine Learning Daily News2024,Issue(Jun.11) :68-68.

University of Dokuz Eylul Reports Findings in Robotics (Investigating the impact of initial parameters on autonomous robot swarm movement strategies for enhance d exploration efficiency: a comprehensive study)

Dokuz Eylul大学报告了机器人学的发现(研究初始参数对提高D探索效率的自主机器人群运动策略的影响:一项综合研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :68-68.

University of Dokuz Eylul Reports Findings in Robotics (Investigating the impact of initial parameters on autonomous robot swarm movement strategies for enhance d exploration efficiency: a comprehensive study)

Dokuz Eylul大学报告了机器人学的发现(研究初始参数对提高D探索效率的自主机器人群运动策略的影响:一项综合研究)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据News Rx记者在土耳其伊兹密尔的新闻报道,研究表明:“蜂群机器人通常是探索恶劣环境和搜索救援行动的首选。本研究采用基于模拟的分析方法,探讨了影响自主机器人温暖运动策略的因素及其对野外蜂群分布的影响。本研究分为两部分:第一部分,机器人作为被动实体经历了FR EE-Fall,然后是一个阶段,在这个阶段中,他们从他们的跌倒位置采用预先定义的运动策略。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Izmir, Turkey, by News Rx journalists, research stated, “Swarm robots are frequently preferred for the exploration of harsh environments and search and rescue operations. This study e xplores the factors that influence the movement strategies of autonomous robot s warms and their impact on swarm distribution in the field, employing simulation- based analysis. The research consists of two parts: initially, robots undergo fr ee-fall as passive entities, followed by a phase where they employ predefined mo vement strategies from their fall positions.”

Key words

Izmir/Turkey/Eurasia/Autonomous Robot/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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