首页|Studies from University of Southern California (USC) Reveal New Findings on Robo tics and Automation (Conformal Predictive Safety Filter for Rl Controllers In Dy namic Environments)
Studies from University of Southern California (USC) Reveal New Findings on Robo tics and Automation (Conformal Predictive Safety Filter for Rl Controllers In Dy namic Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news originating from Los Angeles, Ca lifornia, by NewsRx correspondents, research stated, “The interest in using rein forcement learning (RL) controllers in safety-critical applications such as robo t navigation around pedestrians motivates the development of additional safety m echanisms. Running RL-enabled systems among uncertain dynamic agents may result in high counts of collisions and failures to reach the goal.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsUniversity of Sout hern California (USC)
NETL
NSTL
IEEE
