首页|Recent Research from Stanford University Highlight Findings in Robotics (Diffusi on Co-policy for Synergistic Human-robot Collaborative Tasks)
Recent Research from Stanford University Highlight Findings in Robotics (Diffusi on Co-policy for Synergistic Human-robot Collaborative Tasks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Stanford, California, by NewsRx journalists, research stated, “Modeling multimodal humanbehavior has been a key barrier to increasing the level of interaction between human and rob ot, particularlyfor collaborative tasks. Our key insight is that an effective, learned robot policy used for human-robotcollaborative tasks must be able to ex press a high degree of multimodality, predict actions in a temporallyconsistent manner, and recognize a wide range of frequencies of human actions in order to seamlesslyintegrate with a human in the control loop.”
StanfordCaliforniaUnited StatesNor th and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsStanford University
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