首页|Researchers from Zhejiang University Report on Findings in Robotics (Review of U nderwater Adsorptive-operating Robots: Design and Application)

Researchers from Zhejiang University Report on Findings in Robotics (Review of U nderwater Adsorptive-operating Robots: Design and Application)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news reporting originating from Zhejiang, People's Republ ic of China, by NewsRx correspondents, research stated, "The maintenance of unde rwater infrastructures and equipment remains dominated by manual operation, resu lting in high costs and safety concerns. Recent advances in adsorptive-operating robots and intelligent controls offer new opportunities for underwater engineer ing operations." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Research and Development Program of Zhejiang Province, N ingbo Science and Technology Innovation 2025 Major Special Project. Our news editors obtained a quote from the research from Zhejiang University, "H owever, the universality and automation of robots are insufficient to support la rge-scale commercial applications. This review focuses on the fundamental design aspects in terms of adsorption, locomotion, visual observation, control, and au tonomy. The approaches employed over the past two decades that enable robots to adsorb stably, locomote smoothly, make clear observations, and operate efficient ly are described and compared. Robots with different applications are systematic ally introduced to illustrate the popular topics and value of research." According to the news editors, the research concluded: "This review aggregates t hese studies with the aim of revealing the state-of-the-art in underwater adsorp tive-operating robots, and discussing future trends in this field." This research has been peer-reviewed.

ZhejiangPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsZhejiang Univ ersity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.1)