Study Findings from Sichuan University of Science and Engineering　Provide New In sights into Robotics (Improved Double Deep　Q-Network Algorithm Applied to Multi- Dimensional Environment　Path Planning of Hexapod Robots)

扫码查看

原文链接

NETL
NSTL

外文摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on robotics is now available. Accordi ng to news reporting originating from Zigong,People’s Republic of China, by New sRx correspondents, research stated, “Detecting transportation pipelineleakage points within chemical plants is difficult due to complex pathways, multi-dimens ional survey points,and highly dynamic scenarios. However, hexapod robots’ mane uverability and adaptability make it an idealcandidate for conducting surveys a cross different planes.”

外文关键词：

Sichuan University of Science and Engine eringZigongPeople’s　Republic of ChinaAsiaAlgorithmsEmerging Technologi esMachine LearningNano-robotRobotics

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Apr.10)

Study Findings from Sichuan University of Science and Engineering Provide New In sights into Robotics (Improved Double Deep Q-Network Algorithm Applied to Multi- Dimensional Environment Path Planning of Hexapod Robots)

Robotics & Machine Learning Daily News

Study Findings from Sichuan University of Science and Engineering　Provide New In sights into Robotics (Improved Double Deep　Q-Network Algorithm Applied to Multi- Dimensional Environment　Path Planning of Hexapod Robots)