Deepmind technologies limited (20250128419). COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS: Difference between revisions
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=COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS= | =COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS= | ||
Latest revision as of 15:28, 29 April 2025
COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS
Organization Name
Inventor(s)
Jonathan Karl Scholz of London GB
Jose Enrique Chen of London GB
COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS
This abstract first appeared for US patent application 20250128419 titled 'COORDINATION OF MULTIPLE ROBOTS USING GRAPH NEURAL NETWORKS
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling a plurality of robots. one of the methods includes: obtaining state data representing a current state of the environment; generating, from the state data, graph data representing a graph of the current state of the environment; processing the graph data using a graph neural network to generate a graph output that comprises a respective updated feature representation for each of the robot nodes in the graph; and selecting, based on the graph output, a respective action to be performed by each of the robots.