首页|Researchers from Xinjiang University Report on Findings in Robotics (Memory-base d Soft Actor-critic With Prioritized Experience Replay for Autonomous Navigation )
Researchers from Xinjiang University Report on Findings in Robotics (Memory-base d Soft Actor-critic With Prioritized Experience Replay for Autonomous Navigation )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in Robotics. According to news reporting originating from Urumqi, People’s Republic of China, by NewsRx correspondents, research stated, “Due to random sampling an d the unpredictability of moving obstacles, it remains challenging for mobile ro bots to effectively learn navigation policies and accomplish obstacle avoidance safely. Overcoming such challenges can reduce the time cost required for navigat ion model training and validation, improving the safety and credibility of auton omous navigation in medical service and industrial patrol.”
UrumqiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsXinjiang Univer sity
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