首页|Data from Taizhou University Advance Knowledge in Robotics (Path Planning of a Mobile Robot for a Dynamic Indoor Environment Based on an SAC-LSTM Algorithm)
Data from Taizhou University Advance Knowledge in Robotics (Path Planning of a Mobile Robot for a Dynamic Indoor Environment Based on an SAC-LSTM Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on robotics have been published. According to news reporting from Taizhou,People’s Republic of China, by NewsRx journalists, research stated, “This paper proposes an improved SoftActor-Critic Long Short-Term Memory (SAC-LSTM) algorithm for fast path planning of mobile robots indynamic environments.”
Taizhou UniversityTaizhouPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
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