Robotics & Machine Learning Daily News2024,Issue(Feb.5) :22-23.DOI:10.1109/LRA.2023.3335770

Researchers from Zhejiang University Report Details of New Studies and Findings in the Area of Robotics (Collaborative Planning for Catching and Transporting Objects In Unstructured Environments)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :22-23.DOI:10.1109/LRA.2023.3335770

Researchers from Zhejiang University Report Details of New Studies and Findings in the Area of Robotics (Collaborative Planning for Catching and Transporting Objects In Unstructured Environments)

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Abstract

Current study results on Robotics have been published. According to news reporting out of Hangzhou, People's Republic of China, by NewsRx editors, research stated, “Multi-robot teams have attracted attention from industry and academia for their ability to perform collaborative tasks in unstructured environments, such as wilderness rescue and collaborative transportation. In this letter, we propose a trajectory planning method for a non-holonomic robotic team with collaboration in unstructured environments.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Zhejiang University, “For the adaptive state collaboration of a robot team to catch and transport targets to be rescued using a net, we model the process of catching the falling target with a net in a continuous and differentiable form. This enables the robot team to fully exploit the kinematic potential, thereby adaptively catching the target in an appropriate state. Furthermore, the size safety and topological safety of the net, resulting from the collaborative support of the robots, are guaranteed through geometric constraints. We integrate our algorithm on a car-like robot team and test it in simulations and real-world experiments to validate our performance.”

Key words

Hangzhou/People’s Republic of China/Asia/Emerging Tech- nologies/Machine Learning/Robot/Robotics/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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