Robotics & Machine Learning Daily News2024,Issue(Jan.3) :8-8.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :8-8.

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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Abstract

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.”

Key words

Taizhou University/Taizhou/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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