Deep neural networks-based real-time optimal navigation for an automatic guided vehicle with static and dynamic obstacles. - Zhigang Ren; Jialun Lai; Zongze Wu 001; Shengli Xie (Neurocomputing, 2021)

Iterative learning feedback control for linear parabolic distributed parameter systems with multiple collocated piecewise observation. - Yaqiang Liu; Zongze Wu 001; Jialun Lai; Zhigang Ren; Shengli Xie (J. Frankl. Inst., 2022)

Optimal navigation for AGVs: A soft actor-critic-based reinforcement learning approach with composite auxiliary rewards. - Haisen Guo; Zhigang Ren; Jialun Lai; Zongze Wu 001; Shengli Xie (Eng. Appl. Artif. Intell., 2023)

HDGN: Heat diffusion graph network for few-shot learning. - Qi Tan; Zongze Wu 001; Jialun Lai; Zexiao Liang; Zhigang Ren (Pattern Recognit. Lett., 2023)

Trajectory planning of mobile robot: A Lyapunov-based reinforcement learning approach with implicit policy. - Jialun Lai; Zongze Wu 001; Zhigang Ren; Qi Tan; Shengli Xie (Knowl. Based Syst., 2025)

A Lyapunov-Based Framework for Trajectory Planning of Wheeled Vehicle Using Imitation Learning. - Jialun Lai; Zongze Wu 001; Zhigang Ren; Ci Chen; Qi Tan; Shengli Xie (IEEE Trans Autom. Sci. Eng., 2025)

Optimal Navigation of an Automatic Guided Vehicle With Obstacle Constraints: A Broad Learning-Based Approach. - Jialun Lai; Zongze Wu 001; Zhigang Ren; Qi Tan; Hanzhen Xiao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)