Lucas Chen
I am a Research Assistant CoMMA lab at Purdue University,
advised by Zachary Kingston, applying to PHD positions this cycle. I'm looking to do more work in
motion planning, TAMP, and learning-based robot policies.
My research interests involve designing robotic systems and algorithms
that can make informed adaptations to unseen and ever-changing conditions in the real world. Sometimes, this
involves distilling high level semantic information into executable trajectories and motions.
In the past, I have worked on projects spanning kinodynamic motion planning for wacky situations,
distributed multiagent RL, open language querying, and human-robot interaction/intent modelling.
I am also interested in how we can make proof-of-concept methods from literature reliable and explainable enough to deploy to commercial robots.
