Robotics & Machine Learning Daily News2024,Issue(Jun.5) :43-44.

Findings from Harbin Institute of Technology Has Provided New Data on Field Robo tics (An Online Optimization Escape Entrapment Strategy for Planetary Rovers Bas ed On Bayesian Optimization)

哈尔滨工业大学的研究成果为野外机器人技术(基于贝叶斯优化的行星车在线优化逃逸诱捕策略)提供了新的数据

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :43-44.

Findings from Harbin Institute of Technology Has Provided New Data on Field Robo tics (An Online Optimization Escape Entrapment Strategy for Planetary Rovers Bas ed On Bayesian Optimization)

哈尔滨工业大学的研究成果为野外机器人技术(基于贝叶斯优化的行星车在线优化逃逸诱捕策略)提供了新的数据

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员讨论机器人学的新发现-现场机器人。据中国人民代表大会哈尔滨新闻报道,NewsRx记者称,“由于火星和其他行星表面的软地形,行星车可能会卡住,ESCA PE诱捕控制策略对行星车穿越松散固结颗粒地形具有重要意义。”本研究的资助单位包括国家自然科学基金(NSFC)、中央大学基础研究基金、自主规划的机器人与系统国家重点实验室Tas k。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Field Robotics. According to news reporting from Harbin, People’s Rep ublic of China, by NewsRx journalists, research stated, “Planetary rovers may be come stuck due to the soft terrain on Mars and other planetary surface. The esca pe entrapment control strategy is of great significance for planetary rover trav ersing loosely consolidated granular terrain.” Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Funds for the Central Universities, Self-Planned Tas k of State Key Laboratory of Robotics and System.

Key words

Harbin/People’s Republic of China/Asia/Field Robotics/Robotics/Harbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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