Computer Engineering · Robotics Research
Researching how intelligent robots learn to move and interact with the physical world.
Rose-Hulman Institute of Technology
Research focus
My research focuses on reinforcement learning and robotic locomotion, with an emphasis on bridging the gap between simulation and physical systems. I am interested in developing learning-based control methods that enable robots to operate reliably in the real world.
Rose-Hulman · Ongoing
Investigating reinforcement learning for bipedal locomotion, policy evaluation, and transfer across simulation and physical systems.
Reinforcement learning / Sim-to-real
Hochschule Esslingen · 2026
Policy integration and ROS 2 observation and command pipelines for the Unitree Go2.
Policy inference / ROS 2
Rose-Hulman · 2026
An archive for controller evolution experiments, research reports, and a final course project.
Controller optimization / Neuroevolution
Professional links and a resume will be added here when available.