Research Roadmap (2026)
Published:
In 2026, I’m focusing on research that connects geometric optimization with practical autonomy.
What problems am I focusing on?
I’m prioritizing control and learning problems where geometry is not a side detail, but central to performance and reliability.
Main research directions
- Geometric policy optimization for reliable closed-loop control.
- Trajectory optimization on manifolds with scalable numerical methods.
- Distributed optimization and consensus for networked autonomous systems.
Why this roadmap
The goal is to keep producing methods with rigorous guarantees and clear implementation pathways for real systems.