Qingtan Zeng

Hi, I’m an Engineer specializing in autonomous systems. My R&D work focuses on the intersection of trajectory generation, optimization and motor control, dedicated to achieving real-time, robust planning and control of autonomous systems including robots and vehicles.

Upon graduating from Jilin University with a Bachelor’s degree in Vehicle Engineering in 2019, I went on to complete a Master of Science degree in Mechanical Engineering at Beijing Institute of Technology’s National Engineering Research Center for Electric Vehicles in 2022.

Subsequently, I served as a Motor Control Software Engineer responsible for PMSM control of NEVs’ electric drive axle at United Automotive Electronic Systems (a Bosch subsidiary) from 2022 to 2025, where I was officially certified as a Departmental Expert.

Experience

Projects

Computational Trajectory Generation

Sequential Convex Programming for trajectory generation with hand-parser.

Notes on Constrained Stein Variational Inference

Constrained Global Optimization through SVI: MultiModal,NonConvex-NonConnected-NonDifferentiable, Hard Constraints, GPU Acceleration.

Computational Loco-Manipulation

C++ implementation of trajectory generation of Full Loco-Manipulation Model based on SCP and DRS

Notes on Real-time Quadratic Conic Programming

Homogeneous Self-dual Embedding(HSDE) IPM, Homogeneous Embedding(HE) IPM, HE Douglas-Rachford Splitting(DRS)

Inverter Modulation

Report on Inverter Modulation

Pulse Heating

Report on Pulse Heating

Active Discharge

Report on Active Discharge