Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning-Reference-Cited by-同舟云学术

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Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Unmanned Systems (ICUS)
language:
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Author:

Yan Haoqi¹,Xu Haoyuan¹,Gao Hongbo²,Ma Fei¹,Li Shengbo Eben³,Duan Jingliang¹

Affiliation:

1. School of Mechanical Engineering, University of Science and Technology Beijing,Beijing,China

2. School of Information Science and Technology, University of Science and Technology of China,Hefei,China

3. School of Vehicle and Mobility, Tsinghua University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318219/10318220/10318393.pdf?arnumber=10318393

Reference29 articles.

1. Inverse kinematics solutions for industrial robot manipulators with offset wrists

2. Pso-based algorithm for inverse kine-matics solution of robotic arm manipulators;alkayyali;2019 20th International Conference on Research and Education in Mechatronics (REM),0

3. Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems

4. Inverse kinematics for cooperative mobile manipulators based on self-adaptive differential evolution

5. Inverse kinematics of a heavy duty manipulator with 6-DOF based on dual quaternion

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