首页|Findings from China University of Mining and Technology Has Provided New Data on Robotics (An Efficient Firefighting Method for Robotics: a Novel Convolution-ba sed Lightweight Network Model Guided By Contextual Features With Dual Attention)
Findings from China University of Mining and Technology Has Provided New Data on Robotics (An Efficient Firefighting Method for Robotics: a Novel Convolution-ba sed Lightweight Network Model Guided By Contextual Features With Dual Attention)
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A new study on Robotics is now availab le. According to news reporting out of Xuzhou, People's Republic of China, by Ne wsRx editors, research stated, "Efficient firefighting operations are crucial fo r ensuring the safety of firefighters and preventing direct exposure to high-tem perature and high-radiation environments. However, traditional firefighting robo ts face the challenges of low efficiency, high misjudgment rates, and difficulty in control during firefighting processes, particularly in extremely complex and dynamically changing fire scenes." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Key R esearch and Development Program of Shandong Province (Major Science and Technolo gy Innovation Project), Guangdong Basic and Applied Basic Research Foundation.
XuzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsChina Universit y of Mining and Technology
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