首页|Researchers’ Work from University of Texas Austin Focuses on Robotics and Automa tion (Inferring Occluded Agent Behavior In Dynamic Games From Noise Corrupted Ob servations)
Researchers’ Work from University of Texas Austin Focuses on Robotics and Automa tion (Inferring Occluded Agent Behavior In Dynamic Games From Noise Corrupted Ob servations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics - Robotics and Automation is now available. According tonews reporting originating in Austin, Texas, by NewsRx journalists, research stated, “In mobile robotics andautonomo us driving, it is natural to model agent interactions as the Nash equilibrium of a noncooperative,dynamic game. These methods inherently rely on observations f rom sensors such as lidars and cameras toidentify agents participating in the g ame and, therefore, have difficulty when some agents are occluded.”
AustinTexasUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsUniversity of Texas Austin
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