首页|Recent Findings from Chongqing University of Posts and Telecommunications Provid es New Insights into Robotics (Multi-robot Task Allocation for Optional Tasks Wi th Hidden Workload: Using a Model-based Hyper-heuristic Strategy)
Recent Findings from Chongqing University of Posts and Telecommunications Provid es New Insights into Robotics (Multi-robot Task Allocation for Optional Tasks Wi th Hidden Workload: Using a Model-based Hyper-heuristic Strategy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Chongqing, People’s R epublic of China, by NewsRx journalists, research stated, “Multi-robottask allo cation (MRTA) is a classical problem in multi-robot systems. This paper analyzes the situationswhere the objective of the robots is to minimize the time cost o f completing a certain proportion of tasksinstead of completing all tasks, i.e. , the tasks are optional.”
ChongqingPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsChong qing University of Posts and Telecommunications
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