Efficient State Representation Learning for Dynamic Robotic Scenarios. - Zhaorun Chen; Liang Gong; Te Sun; Binhao Chen; Shenghan Xie; David Filliat; Natalia Díaz Rodríguez (CoRR, 2021)

Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration. - Zhaorun Chen; Binhao Chen; Shenghan Xie; Liang Gong; Chengliang Liu; Zhengfeng Zhang; Junping Zhang (CoRR, 2021)

Two-Stage Scheduling Strategy for Integrated Energy Systems Considering Renewable Energy Consumption. - Xinghua Liu; Shenghan Xie; Jiaqiang Tian; Peng Wang 017 (IEEE Access, 2022)

Simulation of Real-time Collision-Free Path Planning Method with Deep Policy Network in Human-Robot Interaction Scenario. - Shenghan Xie; Liang Gong; Zhaorun Chen; Binhao Chen (ICARM, 2023)

Workspace decomposition based path planning for fruit-picking robot in complex greenhouse environment. - Binhao Chen; Liang Gong; Chenrui Yu; Xiaofeng Du; Jianhuan Chen; Shenghan Xie; Xinyi Le; Yanming Li; Chengliang Liu 001 (Comput. Electron. Agric., 2023)