Website · Google Scholar · LinkedIn · Email
I work on robots that reason, learn, and act — from motion planning and reinforcement learning to agentic AI for robotics.
- 🔬 Research Affiliate at Yale University and Robotic Lab Advisor at Harvard University.
- 🎓 Ph.D. in Robotics Engineering from WPI; pursuing an MBA at CMU Tepper.
- 🧭 Interested in stochastic control, game theory, and formal methods: turning high-level tasks into policies with guarantees.
- 🤖 Outside research, I coach student robotics. Team 10102Z won the middle school world championship at VEX Worlds 2025.
| Reinforcement learning, temporal logic, and decision-making under uncertainty. | Motion planning, robot autonomy, and coding agents that work with physical systems. |
Parse planning problems and explore their reachable transition systems.
Python Planning
|
Sampling-based motion planning in C++ with OpenRAVE.
C++ Robotics
|
A curated collection of classic computer science and robotics books.
Computer science Robotics
|
My research, publications, and notes from a life in robotics.
Research Open science
|
Let's talk robots, learning, and what comes next. Say hello ↗