首页|Reports from Yunnan University of Finance and Economics Add New Data to Findings in Robotics (A Robot Ground Medium Classification Algorithm Based On Feature Fu sion and Adaptive Spatiotemporal Cascade Networks)
Reports from Yunnan University of Finance and Economics Add New Data to Findings in Robotics (A Robot Ground Medium Classification Algorithm Based On Feature Fu sion and Adaptive Spatiotemporal Cascade Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Robotics are discussed in a new report. According to news reporting originating in Yunnan, People’s Republic of China, by NewsRx journalists, research stated, “With technological advanceme nts and scientific progress, mobile robots have found widespread applications ac ross various fields. To enable robots to perform tasks safely and effectively in diverse and unknown environments, this paper proposes a ground medium classific ation algorithm for robots based on feature fusion and an adaptive spatio-tempor al cascade network.” Funders for this research include Major Science and Technology Special Project o f Yunnan Province, Key Research and Development Program of Yunnan Province, Nati onal College Students’ Innovation and Entrepreneurship Training Program of 2023, The 2023 Yunnan Provincial Student Innovation and Entrepreneurship Training Pro gram, The 2022 Yunnan Provincial Student Innovation and Entrepreneurship Trainin g Program, National Natural Science Foundation of China (NSFC).
YunnanPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRoboti csYunnan University of Finance and Economics
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