Robotics & Machine Learning Daily News2024,Issue(Jun.6) :92-93.

New Robotics Study Findings Recently Were Reported by Researchers at Obuda Unive rsity (Optimizing path planning in mobile robot systems using motion capture tec hnology)

最近,美国国立大学(利用运动捕捉技术优化移动机器人系统中的路径规划)的研究人员报告了新的机器人研究结果

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :92-93.

New Robotics Study Findings Recently Were Reported by Researchers at Obuda Unive rsity (Optimizing path planning in mobile robot systems using motion capture tec hnology)

最近,美国国立大学(利用运动捕捉技术优化移动机器人系统中的路径规划)的研究人员报告了新的机器人研究结果

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。根据News Rx记者从Ortian大学的新闻报道,研究表明,"最近机电一体化和机器人技术的进步导致了广泛的技术的出现,在各个行业具有潜在的应用价值"。新闻记者从奥卡大学的研究中获得了一句话:“这是近年来观察到的进展,随着机器人融入日常生活的日益广泛,预计将继续下去。尽管有这些进展,在工业环境中部署机器人,特别是在装配操作中,仍然存在一些挑战。”本文提出了一种提高移动机器人系统最优路径规划性能的方法,该方法利用运动捕获技术实时采集机器人运动数据,生成最优路径规划策略。研究结果表明,将MOTI技术与捕获技术相结合,可以显著提高移动机器人系统在各种工业环境下的路径规划精度和效率,提高系统的整体性能.

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting from Obuda University by News Rx journalists, research stated, “Recent advancements in mechatronics and roboti cs have led to the emergence of a wide range of technologies with potential appl ications across various industries.” The news reporters obtained a quote from the research from Obuda University: “Th is progress has been observed in recent years and is expected to continue as the integration of robots into daily life becomes more widespread. Despite these de velopments, deploying robots in industrial environments, particularly in assembl y operations, still presents several challenges, including effectively distribut ing skills-based tasks between human and robotic workers. This paper proposes an approach to improve the performance of mobile robot systems for optimal path pl anning. The technique utilizes motion capture technology to collect real-time da ta on the robot’s movements, generate optimal path planning strategies, and enab le remote control and monitoring of the robot’s activities. The proposed approac h can significantly enhance mobile robot systems’ capabilities in various indust rial settings. The results of our study demonstrate that the integration of moti on capture technology can substantially improve the accuracy and efficiency of p ath planning in mobile robot systems and enhance their overall performance.”

Key words

Obuda University/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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