首页|Data on Robotics Described by a Researcher at Chinese Academy of Sciences (Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning)

Data on Robotics Described by a Researcher at Chinese Academy of Sciences (Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subject of a new report. According to news reportingoriginating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Therobot task sequencing problem and trajectory planning problem are two important issues in the roboticoptimization domain and are solved sequentially in two separate levels in traditional studies.”

Chinese Academy of SciencesShenyangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRobotRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.15)