Minh Nguyen

I am a first year EECS M.S. student and former C.S. Undergraduate at the University of California, Berkeley.

This semester, I’m working at the SLICE Lab on Domain Specific Acceleration for Robotic Workloads. Some projects I’ve worked on here include: Accelerating Model Predictive Control(MPC) with Gemmini, SLICE’s systolic array generator, modifying said generator to have better utilization in robotic workloads, and utilizing High Level Synthesis to map C++ MPC code onto an FPGA. I am also working on Multi Agent Reinforcement Learning with the Hybrid Robotics Lab where I am using reinforcement learning to enable multi-agent cooperation.

Last year, I completed an 8-month internship at the NASA Jet Propulsion Laboratory (JPL) investigating novel locomotion methods for future lunar rovers. My related paper on optimal gait transitions can be read here: Trajectory Optimization Methods for Energy Efficient Gait Transitions on Multi-Modal Robots which was presented at IEEE Aerospace 2024.

Prior to JPL, I was part of Space Enterprise at Berkeley for two years, working on liquid rockets and a throttable rocket engine.

On the side, I enjoy indoor bouldering and continuously upgrade my home server.