Junping Li

I’m Junping Li, MS in Marine Science at Shanghai Jiao Tong University, and BE in Automation (EECS) at Ocean University of China. I studied cybernetics of cross environment vehicle (CEV) or hybrid aerial underwater vehicle (HAUV) at Shanghai Jiao Tong University, such as factor, condition, control strategy and deep reinforcement learning, advised by Prof. Zheng Zeng. During my university years, I was awarded Outstanding Student, Outstanding Graduate, Study First Class Scholarship and Practice Scholarship.

My background covers cybernetics, system and control theory, machine learning, vehicle decision planning, and robotics, I learn and like to learn new knowledge, causal inference, from CNN/RNN to transformer to what, game theory or others. Due to cybernetics and AI, I develop interested in cognition, such as in mind, language, behavior, or society, and hope to combine cybernetics, AI and psychology to propose new ideas and theories, and they can be applied to the development of human, society and robotic systems, and make contributions to the world we live in.

Research Experiences

Nonlinear Control and Deep Reinforcement Learning of CEV/HAUV

Junping Li, H Zhou, D Lu, et al. Nonlinear and reinforcement learning control for motion of hybrid aerial underwater vehicle. Neural Computing and Applications, 2024.

3-D space motion model of CEV/HAUV; Key issues: disturbance and uncertainty, cross environment, control constraint; Proposed a nonlinear control including robustness, adaptation and fuzzy logic; Deep reinforcement learning of CEV/HAUV by deterministic policy, neural networks and temporal difference learning; Different types of methods in the tracking cases of three key issues.

CEV/HAUV Cross Domain Strategy, Factors and Conditions

Junping Li, Y Jin, R Hu, et al. Trajectory tracking control of fixed-wing hybrid aerial underwater vehicle subject to wind and wave disturbances. Journal of Intelligent & Robotic Systems, 2024.

Proposed a cross domain strategy to address the convergence problem of CEV/HAUV control caused by the large change in the environment transition; Key factors and conditions of the cross environment; Critical relations and feasible domains of the factors that CEV/HAUV motion or control conditions need to meet.

Phenomena and Mechanisms of CEV/HAUV with Experiments and Learning

T Wei, Junping Li, Z Zeng, et al. Trans-media resistance investigation of hybrid aerial underwater vehicle base on hydrodynamic experiments and machine learning. Ocean Engineering, 2022.

Established the experiment platform, invention patent CN202110217870.4; Operated the cross environment experiments of CEV/HAUV with various motion states; Provided the support for key mechanisms of CEV/HAUV by multivariate analysis and neural networks.

Academic Services

Neural Computing and Applications, ICRA, IROS

Contact

Email: ljp.id [at] sjtu.edu.cn
Web: junpingli.com
Address: Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240