首页|Researchers’ Work from University of California Berkeley Focuses on Robotics (Fm b: a Functional Manipulation Benchmark for Generalizable Robotic Learning)
Researchers’ Work from University of California Berkeley Focuses on Robotics (Fm b: a Functional Manipulation Benchmark for Generalizable Robotic Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Berkeley, California, by New sRx correspondents, research stated, “In this paper, we propose a realworld ben chmark for studying robotic learning in the context of functional manipulation: a robot needs to accomplish complex long-horizon behaviors by composing individu al manipulation skills in functionally relevant ways. The core design principles of our Functional Manipulation Benchmark (FMB) emphasize a harmonious balance b etween complexity and accessibility.”
BerkeleyCaliforniaUnited StatesNor th and Central AmericaEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of California Berkeley
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