Subash Sigdel
Reinforcement Learning · Computer Vision
I want to build systems that can see, understand, and act in the physical world. My research sits at
the intersection of perception and decision-making, with a broad interest in spatial
intelligence —
how will machines understand, reason about, and interact with physical space.
Currently I am exploring how
Vision Language Models can be grounded
in physical action, enabling machines to semantically understand their environment and
respond to natural language with physical gestures.
