Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematic Model Learning. - Weiming Qu; Tianlin Liu; Xihong Wu; Dingsheng Luo (ICDL, 2023)

State Representation Learning for Task and Motion Planning in Robot Manipulation. - Weiming Qu; Yaoyao Wei; Dingsheng Luo (ICDL, 2023)

High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement. - Weiming Qu; Tianlin Liu; Dingsheng Luo (CoRR, 2023)

Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning. - Weiming Qu; Tianlin Liu; Xihong Wu; Dingsheng Luo (CoRR, 2023)

CEMSSL: A Unified Framework for Multi-Solution Inverse Kinematic Model Learning of Robot Arms with High-Precision Manipulation. - Weiming Qu; Tianlin Liu; Dingsheng Luo (CoRR, 2023)

CEMSSL: Conditional Embodied Self-Supervised Learning is All You Need for High-precision Multi-solution Inverse Kinematics of Robot Arms. - Weiming Qu; Tianlin Liu; Jiawei Du; Dingsheng Luo (ICASSP, 2025)

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving. - Weiming Qu; Jiawei Du; Shenghai Yuan; Jia Wang; Yang Sun; Shengyi Liu; Yuanhao Zhu; Jianfeng Yu; Song Cao; Rui Xia; Xiaoyu Tang; Xihong Wu; et al. (CoRR, 2025)

SILM: A Subjective Intent Based Low-Latency Framework for Multiple Traffic Participants Joint Trajectory Prediction. - Weiming Qu; Wang Jia; Jiawei Du; Zhu Yuanhao; Yu Jianfeng; Xia Rui; Cao Song; Xihong Wu; Dingsheng Luo (CoRR, 2025)