Research on Dynamics Modeling and Obstacle Avoidance Optimization of Hyper-Redundant Robotic Arm Based on Deep Learning-Reference-Cited by-同舟云学术

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Research on Dynamics Modeling and Obstacle Avoidance Optimization of Hyper-Redundant Robotic Arm Based on Deep Learning

Published:2024-06-12 Issue: Volume:8 Page:713-718
ISSN:
Container-title:2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)
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Author:

Li Houchi¹,Xue Gang²,Liu Yanjun¹

Affiliation:

1. Shandong University,School of Mechanical Engineering, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, National Demonstration Center for Experimental Mechanical Engineering Education,Jinan,China,250061

2. Shandong University,Institute of Marine Science and Technology,Qingdao,China,266237

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10659854/10659821/10660115.pdf?arnumber=10660115

Reference11 articles.

1. Maneuvering Control of Planar Snake Robots Using Virtual Holonomic Constraints

2. Research on robotic arm sorting based on object detection;Lamiao;Journal of Bonding,2021

3. A Fibonacci control system with application to hyper-redundant manipulators

4. Maneuvering Control of Planar Snake Robots Using Virtual Holonomic Constraints

5. Optimal reaction control of flexible base redundant manipulator;Wang;Chinese Space Science and Technology,2023

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