首页|Researchers from University of the Chinese Academy of Sciences Discuss Findings in Robotics (Speed Planning Based On Terrainaware Constraint Reinforcement Lear ning In Rugged Environments)
Researchers from University of the Chinese Academy of Sciences Discuss Findings in Robotics (Speed Planning Based On Terrainaware Constraint Reinforcement Lear ning In Rugged Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out ofBeijing, People’s Republic of China, by NewsRx editors, research stated, “Speed planning in rugged terrainposes chal lenges due to various constraints, such as traverse efficiency, dynamics, safety , and smoothness.This letter introduces a framework based on Constrained Reinfo rcement Learning (CRL) that considersall these constraints.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningReinforcement LearningRobotRobot icsUniversity of the Chinese Academy of Sciences
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