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Interaction with the Physical World

Advances in low- and no-power sensing, communication and interaction technologies offer new possibilities for blending digital innovation with our physical environment. 

From gesture recognition that allows people to interact with objects in new ways, to low-power sensors that collect and transmit data about temperature, air quality, urban accessibility and more, our researchers are tapping into the potential of computation to transform how we experience the world around us.


Research Groups & Labs

A student wearing an Oculus headset motions toward a screen displaying a virtual character

UW Reality Lab

The UW Reality Lab advances the state of the art in virtual and augmented reality by developing new technologies and applications, educating the next generation of researchers and technologists, and supporting robust collaborations with industry.

Professor Dieter Fox and a student demonstrate a remote operated robotic arm attempting to pick up a block

Robotics and State Estimation Lab

We are interested in the development of computing systems that interact with the physical world in an intelligent way. To investigate such systems, we focus on problems in robotics and activity recognition.


Allen School Faculty

Assistant Professor

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Centers & Initiatives

The Transportation Data Equity Initiative (TDEI) aims to enhance the quality and accessibility of travel services by building open source data collection and vetting tools, transportation data digital infrastructure, and governance frameworks that enable public-private data sharing and interoperability. The TDEI is a project sponsored by The Complete Trip, an ITS4US Deployment Program.

The Science Hub supports a broad set of programs — including fellowships for doctoral students, collaboration among researchers and support for collaborative research events — designed to accelerate artificial intelligence (AI), robotics and engineering in the Seattle area.

Highlights


Allen School News

Itani, who works with Allen School professor Shyam Gollakota in the Mobile Intelligence Lab, was recognized for exceptional early-career research advancing AI systems for “superhuman” hearing.

HearingTracker

A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.

Fast Company

Allen School professor Jon Froehlich talks about how Project Sidewalk empowers communities by crowdsourcing data on pedestrian infrastructure, from curb ramps to broken pavement, to improve accessibility.