首页|'Simulation Driven Robotic Control Of Real Robot(S)' in Patent Application Appro val Process (USPTO 20240190004)
'Simulation Driven Robotic Control Of Real Robot(S)' in Patent Application Appro val Process (USPTO 20240190004)
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The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Use of robotic simulators has been proposed to generate simulated training data that is utilized in training of machine learnin g model(s). The machine learning model(s), once trained based on simulated train ing data, can then be utilized during perception, planning, and/or acting stage( s) of robotic control of real robot(s) (i.e., non-simulated physical real-world robot(s)). However, utilization of the machine learning model(s) by the real rob ot(s) in robotic control does not actively involve robotic simulator(s). Rather, the machine learning model(s) are merely trained based on simulated training da ta that is generated using the robotic simulator(s). Further, use of robotic sim ulator(s) has been proposed to test/validate robotic control stacks prior to imp lementation of the control stacks on real robots. However, once the robotic cont rol stacks are implemented on the real robots, the robotic simulator(s) are no l onger actively utilized.”
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