Real-time solution of multi-constrained quadratic programming problem for redundant manipulator based on recurrent neural network-Reference-Cited by-同舟云学术

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Real-time solution of multi-constrained quadratic programming problem for redundant manipulator based on recurrent neural network

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
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Author:

Zhong Longxin¹,Zhang Xiaolong¹,Zhai Xueqian²,Li Yuming²,Xu Zhihao²,Pan Jia³,Zhou Xuefeng²

Affiliation:

1. Kunming University of Science and Technology,Faculty of Mechanical and Electrical Engineering,Kunming,China

2. Institute of Intelligent Manufacturing, Guangdong Academy of Sciences,Guangdong Key Laboratory of Modern Control Technology,Guangzhou,China

3. University of Hong Kong,Hong Kong,China

Funder

National Natural Science Foundation of China

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354819.pdf?arnumber=10354819

Reference14 articles.

1. Mobile manipulator motion planning based on sparse node RRT;Li;China Mech Eng,2021

2. PQ-RRT*: An improved path planning algorithm for mobile robots

3. Sampling-based algorithms for optimal motion planning

4. Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic

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