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Dynamic Path Planning of Robot Based on Depth Learning

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成果类型:
会议论文
作者:
Ouyang C.;Wei S.;Chen Z.
作者机构:
[Ouyang C.; Wei S.; Chen Z.] Hengyang Normal University, Hunan, Hengyang, 421002, China
语种:
英文
关键词:
Deep learning;Mobile robots;Motion planning;Robot programming;Stereo image processing;Deep learning;Depthmap;Dynamic path planning;Industrial production;Line of Sight;Lines-of-sight;Multi-joint;Serial industrial robots;Stereo cameras;Underwater robots;Industrial robots
期刊:
Lecture Notes in Electrical Engineering
ISSN:
1876-1100
年:
2024
卷:
1132
页码:
241-246
会议名称:
13th International Conference on Frontier Computing, FC 2023
会议时间:
10 July 2023 through 13 July 2023
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789819995370
基金类别:
Education Department of Hunan Province of China (No. 20C0290).
机构署名:
本校为第一机构
摘要:
Multi joint serial industrial robot is widely used in industrial production because of its convenient operation, accurate positioning, flexible execution and other advantages. The working principle of industrial robot is mainly to remember the running track through manual teaching, and use control to make it reach the specified position and pose. Generally, industrial robots only follow one or more fixed routes in actual pipeline work. Dynamic path planning is a method types of robots, such as wheeled mobile robots or underwater robots (UUV). T...

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