Research
Current research direction
My current work is focused on developing the mathematical, machine-learning, and robotics foundations required to investigate intelligent autonomous systems, with particular interest in embodied AI, robot learning, computer vision, and multimodal perception.
This page is intentionally sparse. Investigations appear here once they have a research question, a method, and something a reader can check — not before.
Areas I'm exploring
Interests, not claims of expertise. They are expected to narrow as the work does.
- Embodied AI
- How intelligent agents can perceive, reason about, and interact with physical environments.
- Robot Learning
- Learning policies and representations for perception, navigation, manipulation, and control.
- Computer Vision
- Visual perception and representation for autonomous systems.
- Autonomous Systems
- Systems capable of sensing, planning, decision-making, and action.
- Multimodal Intelligence
- Combining vision, language, sensor observations, and action.
Broader interests
Machine Learning · Robotics · State Estimation · Planning · Reinforcement Learning