Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Zhu, Zheng H."'
Autor:
Beigomi, Bahador, Zhu, Zheng H.
Traditional control methods effectively manage robot operations using models like motion equations but face challenges with issues of contact and friction, leading to unstable and imprecise controllers that often require manual tweaking. Reinforcemen
Externí odkaz:
http://arxiv.org/abs/2409.12273
Autor:
Beigomi, Bahador, Zhu, Zheng H.
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
In this research, we introduce a deep reinforcement learning-based control approach to address the intricate challenge of the robotic pre-grasping phase under microgravity conditions. Leveraging reinforcement learning eliminates the necessity for man
Externí odkaz:
http://arxiv.org/abs/2406.06460
Autor:
Taghizadeh, Mitra, Zhu, Zheng H.
Publikováno v:
In Acta Astronautica September 2024 222:403-421
Publikováno v:
In Acta Astronautica November 2024 224:367-378
Autor:
Jahanshahi, Hadi, Zhu, Zheng H.
Publikováno v:
In Acta Astronautica July 2024 220:37-61
Autor:
Yu, B.S., Zhu, Zheng H.
Publikováno v:
In Acta Astronautica June 2024 219:108-114
Autor:
Shi, Gefei, Zhu, Zheng H.
Publikováno v:
In Advances in Space Research 1 May 2024 73(9):4767-4781
Autor:
Shi, Gefei, Zhu, Zheng H.
Publikováno v:
In Acta Astronautica April 2024 217:293-301
Publikováno v:
In Chinese Journal of Aeronautics May 2024
Publikováno v:
In Acta Astronautica October 2023 211:435-446