• Utilized SolidWorks to develop and design a series of AGV tires to adapt to various ground conditions and temperature changes, which were specifically tailored to meet the needs of multiple industrial environments, including smooth factory floors, rough warehouse surfaces, or outdoor areas. • Used finite element simulation to conduct structural strength analysis on the forks of AGVs, primarily focusing on bending and compression tests, which were used to evaluate the maximum load capacity of forks of various models and lengths, ensuring they meet the required strength and durability standards under different loading conditions. • Proficient in AGV structural components and operational mechanics with in-depth knowledge of laser navigation, radar systems, and various sensors, skilled in integrating these components with AGV's internal PLC for enhanced navigation accuracy and obstacle detection; Experienced in optimizing machine/automation components like sophisticated vision systems, electro-mechanical actuators, and advanced motion control systems to ensure reliable and precise robot performance in diverse industrial settings.

• Developed an underwater biomimetic soft crab robot capable of horizontal, forward, and ascending movements, achieving top speeds of 7.79mm/s, 10.24mm/s, and 26.67mm/s, with integrated obstacle avoidance.• Used C programming language to design a robot ascent algorithm, simulating and analyzing its motion with Ansys and MATLAB, achieving a 30.2% increase in ascent speed compared to previous underwater soft robots.

• Conducted comprehensive research on the structures and operational principles of common types of jet engines, and published a paper 'Current Status and Prospect of Jet Engine Technology Application' at the 2nd International Conference on Mechanical, Electronics and Electrical and Automation Control (METMS2022).

•Used Simulink to develop the integrated intelligent driving control system for the entire vehicle, primarily focusing on the design of the vehicle's driving module, such as tire models, traction control models, lateral vehicle dynamics models, and kinematic models, etc.•Used Simulink and MATLAB to design and simulate various modules for vehicle motion, achieving various functionalities and simulation analyses, such as PID control, coasting test simulation, LQR control (Cruise control ), traction control, lateral motion control, electronic stability control, and lane keeping, etc.

• Designed and implemented a state simulator in Python for real-time state assessment focused on assessing and controlling the speed and angle of navigation to optimize routes and improve efficiency

• Proposed the theoretical design of the robot, designed the amphibious motion model of the underwater robot with Solidworks, and improved short circuit tolerable time by 5 minutes compared with previous underwater soft robots.• Designed the experimental procedure with C++, tested the performance of the underwater robot with MATLAB, and measured the maximum movement speed of the soft robot with a camera and profile paper.