Robotics & Machine Learning Daily News2024,Issue(Feb.1) :75-76.DOI:10.1016/j.rcim.2023.102633

Findings on Robotics Reported by Investigators at Beijing University of Technology (Hybrid Path Planning Method Based On Skeleton Contour Partitioning for Robotic Additive Manufacturing)

Robotics & Machine Learning Daily News2024,Issue(Feb.1) :75-76.DOI:10.1016/j.rcim.2023.102633

Findings on Robotics Reported by Investigators at Beijing University of Technology (Hybrid Path Planning Method Based On Skeleton Contour Partitioning for Robotic Additive Manufacturing)

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Abstract

Data detailed on Robotics have been presented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Establishing manufacturability design criteria for multidimensional complex parts can significantly reduce the production cost, shorten the manufacturing cycle, and improve the production quality of directed energy deposition. Therefore, there is an urgent need to establish a high-performance manufacturing design strategy for complex parts.” Funders for this research include National Natural Science Foundation of China (NSFC), China Postdoctoral Science Foundation, China Postdoctoral Science Foundation, State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Postdoctoral Research Foundation of Chaoyang District.

Key words

Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Beijing University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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