I am a graduate student in the Robotics Institute at Carnegie Mellon University and I am advised by Professor Jiaoyang Li in the ARCS Lab. My research focuses on developing planning algorithms for multi-robot cooperative tasks. I am particularly interested in scalable algorithms that coordinate multi-robot systems to complete complex tasks faster and more efficiently than a single robot could.
I completed my undergraduate at University of Virginia, where I led the motion planning team on Cavalier Autonomous Racing, advised by Professor Madhur Behl. I also worked with Professor Rohan Chandra in the Chandra Robot Autonomy Lab on planning and controls systems for safe and agile robots in constrained, social environments. I have also been fortunate to previously work at Zipline as a Flight Autonomy Intern and at SpaceX as a Starship Software Intern.
Search-based algorithms that optimally and suboptimally solve the Multiple Watchman Route Problem using cell pruning, heuristic enhancement, and distributed postprocessing techniques.
A robust neural network for planning safe, deadlock-free, minimally-invasive trajectories in constrained environments using higher-order CBFs and liveness constraints.
Developed planning algorithms for high-level race strategy and low-level vehicle control to overtake opponents while maintaining stable racecar control. Also created a data-driven simulation environment to benchmark planning and control algorithms on real-world scenarios.
Designed, built, and programmed from scratch a robotic system that solves the Rubik's Cube in under 4 seconds. Also developed a 3D JS GUI to test and visualize cube solving algorithms.
Developed a photogrammetry algorithm to stitch images of a neighborhood captured by a drone with a downward-facing camera. Used the stitched images to measure the area's canopy cover.
Organized a custom real-time strategy game contest where 40+ users created Python AIs to compete against one another. Built a secure, scalable game engine and automated game scheduling to live update elo rankings.