首页|Findings from Huazhong University of Science and Technology in Robotics Reported (Flocking Fragmentation Formulation for a Multi-robot System Under Multi-hop an d Lossy Ad Hoc Networks)
Findings from Huazhong University of Science and Technology in Robotics Reported (Flocking Fragmentation Formulation for a Multi-robot System Under Multi-hop an d Lossy Ad Hoc Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Wuhan, People’s Republic of China, by N ewsRx journalists, research stated, “We investigate the impact of network topolo gy characteristics on flocking fragmentation for a multi-robot system under a mu ltihop and lossy ad hoc network, including the network’s hop count features and information’s successful transmission probability (STP). Specifically, we first propose a distributed communication-calculationexecution protocol to describe the practical interaction and control process in the ad hoc network based multi- robot system, where flocking control is realized by a discrete-time Olfati-Saber model incorporating STP-related variables.” The news correspondents obtained a quote from the research from the Huazhong Uni versity of Science and Technology, “Then, we develop a fragmentation prediction model (FPM) to formulate the impact of hop count features on fragmentation for s pecific flocking scenarios. This model identifies the critical system and networ k features that are associated with fragmentation. Further considering general f locking scenarios affected by both hop count features and STP, we formulate the flocking fragmentation probability (FFP) by a data fitting model based on the ba ck propagation neural network, whose input is extracted from the FPM. The FFP fo rmulation quantifies the impact of key network topology characteristics on fragm entation phenomena.”
WuhanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsHuazhong University o f Science and Technology
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