首页|New Findings on Robotics Described by Investigators at Purdue University (Graph- based Decentralized Task Allocation for Multirobot Target Localization)

New Findings on Robotics Described by Investigators at Purdue University (Graph- based Decentralized Task Allocation for Multirobot Target Localization)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in West Lafayette , Indiana, by NewsRx journalists, research stated, “We introducea new graph neu ral operator-based approach for task allocation in a system of heterogeneous rob otscomposed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UA Vs). The proposedmodel, GATAR, or Graph Attention Task AllocatoR aggregates inf ormation from neighbors in the multirobotsystem, with the aim of achieving glo bally optimal target localization.”

West LafayetteIndianaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsPurdue University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.14)