350 Serra Mall
Packard Building, Rm 228
Stanford, CA 94305
Donald (dot) Dansereau (at) gmail (dot) com
My research brings together concepts from computational imaging and robotics, building new kinds of cameras and algorithms to help robots see and do.
Robotic vision is embodied, constrained and discriminative. Embodied: cameras operate on a physical agent that interacts with its environment. Constrained: robots have finite resources including energy and time. The environment and application present additional challenges. Discriminative: vision drives decisions: "Should I go left or right?" "Is it okay to move that chair?" "Is that a real apple?"
Nature has not settled on a single eye design: different evolutionary niches benefit from different combinations of optics and computation. Robots similarly benefit by selecting the right sensor for a given embodiment and application.
This emerging field jointly designs optics and algorithms to deliver better images. Recent years have seen a tantalizing profusion of new imaging technologies.
From Photons to Actions
I am exploring the union of computational imaging and robotic vision. This work will establish the key principles by which cameras and algorithms are designed to enable the next generation of robotic autonomy.