首页|Study Findings from University of Science and Technology Provide New Insights in to Robotics (Benchmark for Multi-agent Pickup and Delivery Problem In a Robotic Mobile Fulfillment System)
Study Findings from University of Science and Technology Provide New Insights in to Robotics (Benchmark for Multi-agent Pickup and Delivery Problem In a Robotic Mobile Fulfillment System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “The Robotic Mobile Fulfillment System (RMFS) is a ‘g oods-to-worker’ system that utilizes pods to store goods and employs robots for pods movement. In the RMFS, the multi-agent pickup and delivery (MAPD) problem w hich robots complete pickup and delivery tasks and ensure that there are no conf licts has been extensively studied.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R&D Program of China.
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRobot icsRobotsUniversity of Science and Technology
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