Robotics & Machine Learning Daily News2024,Issue(Nov.26) :28-29.

Findings in the Area of Field Robotics Reported from Southeast University (Robus t Collision Avoidance and Path-following of Usvs With Reduced Conservativeness: a Control Barrier Function-based Approach)

东南大学报告的野外机器人领域的发现(Robus T避碰和保守性降低的USV路径跟踪:基于控制屏障功能的方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :28-29.

Findings in the Area of Field Robotics Reported from Southeast University (Robus t Collision Avoidance and Path-following of Usvs With Reduced Conservativeness: a Control Barrier Function-based Approach)

东南大学报告的野外机器人领域的发现(Robus T避碰和保守性降低的USV路径跟踪:基于控制屏障功能的方法)

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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-机器人学的最新研究成果-现场机器人学已经发表.根据来自江苏的新闻报道,NewsRx记者,研究“避碰和路径跟踪问题是无人驾驶飞行器的基本问题”(USVs)完成不同水环境下的各项任务。然而,解决这个问题是具有挑战性,因为USV在实践中不可避免地受到环境干扰的影响。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Fi eld Robotics have been published. According tonews reporting originating from J iangsu, People’s Republic of China, by NewsRx correspondents, researchstated, “ The collision avoidance and path-following problem is fundamental for unmanned s urface vehicles(USVs) to accomplish various tasks in different water environmen ts. However, addressing this issue ischallenging, as USVs are inevitably affect ed by environmental disturbances in practice.”

Key words

Jiangsu/People’s Republic of China/Asi a/Field Robotics/Robotics/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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