Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem. - Chupeng Su; Cong Zhang; Dan Xia; Baoan Han; Chuang Wang 010; Gang Chen 024; Longhan Xie (Appl. Soft Comput., 2023)

Integrating Vision Localization and Deep Reinforcement Learning for High-Precision, Low-Cost Peg-in-Hole Assembly. - Ze Lin; Miaosheng Zeng; Chuang Wang 010; Sihan Wu; Longhan Xie (CIS-RAM, 2024)

Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments. - Chuang Wang 010; Lie Yang; Ze Lin; Yizhi Liao; Gang Chen 024; Longhan Xie (CoRR, 2024)

Extended residual learning with one-shot imitation learning for robotic assembly in semi-structured environment. - Chuang Wang 010; Chupeng Su; Baozheng Sun; Gang Chen 024; Longhan Xie (Frontiers Neurorobotics, 2024)

Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly. - Peng Xiao; Chuang Wang 010; Ze Lin; Ying Hao; Gang Chen 024; Longhan Xie (Knowl. Based Syst., 2024)

Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning. - Chupeng Su; Cong Zhang; Chuang Wang 010; Weihong Cen; Gang Chen 024; Longhan Xie (Swarm Evol. Comput., 2024)

Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly. - Chuang Wang 010; Ze Lin; Biao Liu; Chupeng Su; Gang Chen 024; Longhan Xie (Appl. Intell., 2024)

Controlling Soft Robotic Arms Using Hybrid Modelling and Reinforcement Learning. - Gaoming Lou; Chuang Wang 010; Zefeng Xu; Jiaqiao Liang; Yitong Zhou (IEEE Robotics Autom. Lett., 2024)

Multimodal Task Attention Residual Reinforcement Learning: Advancing Robotic Assembly in Unstructured Environment. - Ze Lin; Chuang Wang 010; Sihan Wu; Longhan Xie (IEEE Robotics Autom. Lett., 2025)