首页|Study Results from University of California Los Angeles (UCLA) Broaden Understan ding of Robotics (Learning Neural Force Manifolds for Sim2real Robotic Symmetric al Paper Folding)
Study Results from University of California Los Angeles (UCLA) Broaden Understan ding of Robotics (Learning Neural Force Manifolds for Sim2real Robotic Symmetric al Paper Folding)
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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 Los Angeles, Californ ia, by NewsRx journalists, research stated, “Robotic manipulationof slender obj ects is challenging, especially when the induced deformations are large and nonl inear.Traditionally, learning-based control approaches, such as imitation learn ing, have been used to addressdeformable material manipulation.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRobot icsRobotsUniversity of California Los Angeles (UCLA)
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