Robotics & Machine Learning Daily News2024,Issue(Dec.5) :116-116.

Research from Fuzhou University Provides New Data on Robotics (LQR-based control strategy for improving human-robot companionship and natural obstacle avoidance )

福州大学的研究提供了机器人学的新数据(基于lqr的改善人-机器人友谊和自然避障的控制策略)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :116-116.

Research from Fuzhou University Provides New Data on Robotics (LQR-based control strategy for improving human-robot companionship and natural obstacle avoidance )

福州大学的研究提供了机器人学的新数据(基于lqr的改善人-机器人友谊和自然避障的控制策略)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的新研究结果已经公布。根据新闻报道在中华人民共和国晋江,NewsRx编辑,研究表明,“在动态和人-机器人共生的非结构化环境,同伴机器人需要自然的人-机器人通过多模态信息融合实现交互式自主智能合作。然而,伴随动作的控制精度和协调性并不实际应用令人满意。 ”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reportingout of Jinjiang, People’s Republic of C hina, by NewsRx editors, research stated, “In the dynamic andunstructured envir onment of human-robot symbiosis, companion robots require natural human-robotin teraction and autonomous intelligence through multimodal information fusion to a chieve effectivecollaboration. Nevertheless, the control precision and coordina tion of the accompanying actions are notsatisfactory in practical applications. ”

Key words

Fuzhou University/Jinjiang/People’s Re public of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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