Research Projects

This project investigates embodied intelligence for autonomous robots operating in dynamic environments, combining vision-language-action models with reinforcement learning.

Development of lightweight deep learning models for real-time inference on embedded systems with applications in autonomous vehicles and drones.

Focused on interpretable decision-making and safety guarantees for autonomous agents interacting with humans in uncertain environments.