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I'm currently with the Stanford Computational Imaging Lab, which is focused on novel computational cameras, displays and light transport.

I'm pleased to be affiliated with the Australian Centre for Robotic Vision at the QUT Robotics Lab in Brisbane, where we are exploring novel cameras for robotic vision.

I'm also pleased to be affiliated with the Marine Robotics group at the Australian Centre for Field Robotics at the University of Sydney, where we are exploring computational imaging for underwater imaging and robotic vision.

Publications   |   CV   |   Google scholar profile


Donald G.Dansereau
350 Serra Mall
Packard Building, Rm 228
Stanford, CA 94305
Donald (dot) Dansereau (at) gmail (dot) com

My Research

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

AUV Sirius
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?"

Novel Cameras

Compound Eye
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.

Computational Imaging

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.