首页|Study Findings from Suzhou University of Science and Technology Provide New Insights into Robotics (Coverage Path Planning for Cleaning Robot Based On Improved Simulated Annealing Algorithm and Ant Colony Algorithm)
Study Findings from Suzhou University of Science and Technology Provide New Insights into Robotics (Coverage Path Planning for Cleaning Robot Based On Improved Simulated Annealing Algorithm and Ant Colony Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Robotics. According to news reporting from Suzhou, People's Republic of China, by NewsRx journalists, research stated, "In the field of intelligent buildings, cleaning robots have always been a part of research. This study proposes a traversal algorithm based on the combination of simulated annealing algorithm based on monotonic heating and ant colony algorithm to solve the problem of coverage path planning during operation." Funders for this research include National Natural Science Foundation of China (NSFC), Postgraduate Research & Practice Innovation Program of Jiangsu Province, Qing Lan Project of Jiangsu, China Postdoctoral Science Foundation, Suzhou Science and Technology Development Plan Project (Key Industry Technology Innovation), Open Project Funding from Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Postgraduate Research & Practice Innovation Program of Jiangsu Province.
SuzhouPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsSuzhou University of Science and Technology
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