Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating in Guangdong, People's R epublic of China, by NewsRx journalists, research stated, "Flexible proximity se nsors mounted on robot arms boost obstacle detection in human-robot collaboratio n (HRC). However, most of the flexible sensor placements lack further analysis t o exploit the flexibility, leading to an inefficient and overpriced sensing syst em." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from the Harbin Institute of Technology, "In this letter, we propose a systematic method to optimize the p lacement of the flexible proximity sensor for HRC. To prepare for the optimizati on, the geometric model of a flexible sensor is built and an evaluation metric f or the detection ability is established. Based on a global search algorithm, we obtain the optimized sensor placement with a sufficient detection ability and a minimum number of sensors. An experiment was conducted to verify the reliability of the method. The comparison between the optimized placement results and the c onventional ones indicates that the proposed method could achieve better detecti on performance with much fewer sensors. This method also takes the flexibility i nto account by customizing the placement for different tasks."
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