Robotics & Machine Learning Daily News2024,Issue(Jun.12) :10-11.

Findings from University of Science and Technology Beijing Reveals New Findings on Robotics (A Branch-and-bound Based Globally Optimal Solution To 2d Multi-robo t Relative Pose Estimation Problems)

北京科技大学的研究结果揭示了机器人学的新发现(基于分枝定界的二维多机器人相对姿态估计问题全局最优解)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :10-11.

Findings from University of Science and Technology Beijing Reveals New Findings on Robotics (A Branch-and-bound Based Globally Optimal Solution To 2d Multi-robo t Relative Pose Estimation Problems)

北京科技大学的研究结果揭示了机器人学的新发现(基于分枝定界的二维多机器人相对姿态估计问题全局最优解)

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摘要

由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。据《中华人民共和国北京消息》,NewsRx记者报道,研究表明:“对于多机器人系统协同执行诸如协同传感、多机器人搜索救援、编队控制等多种任务时,相对位姿估计问题是非常重要的,但寻找可靠的解决方案是非常必要的。”保证提供全球最优解决方案的算法仍在需求中。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news originating from Beijing, People’s Republic of China , by NewsRx correspondents, research stated, “The relative pose estimation probl em is important for multi-robot systems when they execute a variety of tasks coo peratively, such as cooperative sensing, multi-robot search and rescue, formatio n control. The finding of reliable solutions to this problem is essential, howev er, algorithms that guarantee to provide globally optimal solutions are still in demand.”

Key words

Beijing/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/University of Scien ce and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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