Lucas Chen
I am a Masters student in the CoMMA lab at Purdue University,
advised by Zachary Kingston. I am working on learning-based motion planning and trajectory optimization for realtime (millisecond!) planning.
My research interests span robotics and vision, including using hardware acceleration to produce enormous speedups (1000x) over conventional variants,
realtime trajectory optimization, physics informed learning, and motion planning in wacky and unusual situations.
In the past, I have also worked with RL, open language querying, and planning with PDEs.
I am also interested in how we can make proof-of-concept methods from literature reliable and explainable enough to deploy to commercial robots.
