no code implementations • 9 May 2024 • Liangliang Chen, Shiyu Jin, Haoyu Wang, Liangjun Zhang
Excavators are crucial for diverse tasks such as construction and mining, while autonomous excavator systems enhance safety and efficiency, address labor shortages, and improve human working conditions.
no code implementations • 11 Mar 2024 • Liangliang Chen, Yutian Lei, Shiyu Jin, Ying Zhang, Liangjun Zhang
In this paper, we propose RLingua, a framework that can leverage the internal knowledge of large language models (LLMs) to reduce the sample complexity of RL in robotic manipulations.
no code implementations • 9 Mar 2023 • Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
In this work, we first formulate the problem of robotic water scooping using goal-conditioned reinforcement learning.
no code implementations • 29 Jan 2021 • Shiyu Jin, Xinghao Zhu, Changhao Wang, Masayoshi Tomizuka
Peg-in-hole assembly is a challenging contact-rich manipulation task.
Robotics