XRNet
End-to-End Delivery Technology for Interactive Multi-person XR Rehabilitation Activities
Learn More

About

Networked Extended Reality for Collaborative Rehabilitation

Extended reality (XR) technologies have shown significant promise in increasing user engagement and skill acquisition in a variety of domains. The goal of this project is to accelerate adoption of innovative XR applications for rehabilitation, for example to enhance user experiences in treatments to improve motor function for certain diseases. This project develops immersive XR exercise environments that connects geo-distributed users and enables them to move and interact in 3D space with each other and with virtual elements. A key objective is to make the experience of rehabilitation more enjoyable and effective by incorporating social interactions between remote users that can boost engagement and skill acquisition. The technology also allows clinicians to guide and interact with their patients remotely. To create a virtual environment that users experience as fast and seamless, this project develops novel approaches to the underlying networking infrastructure needed to run the application, including at the 5G and Internet layers.

Also check out our sister Breaking Low projects, Agora and Drive Safe.

XRNet stack
Exposing and Exploiting Path Diversity
Use our Edge Fabric and PAINTER systems to prioritize XR flows.
XR-Aware 5G RAN Adaptation
XR-in-Loop RAN management.
Multi-User XR Rehabilitation Activities
Multi-user XR rehab — social, engaging, clinician-guided in real time.

News

  • Dec. 4, 2025: First quarter of the project successfully concluded! We had some nice news articles written about the project at the University of Michigan [link] (we made the front page!) and at Columbia [link].
  • Nov 6, 2025: Demonstrated tabletop networked iGYM at ACM MobiCom 2025 in Hong Kong! [details] [video]
  • Oct 1, 2025: The XRNet project officially launches! Let's go!
  • Sept 14, 2025: Received support from the NSF TIP directorate's Breaking Low program. Thank you NSF! [NSF announcement]

Key Components

Explore the key components of our project

...
iGYM
Accessible AR exercise
...
WordPlay VR
Cognitive-motor XR exergames for people with Parkinson's disease
...
Testbeds
Experimentation across domains and sites

Timeline

Our milestones and plans

Our Amazing Team

Collaborating institutions and members

University of Michigan

Jiasi Chen
Jiasi Chen (lead PI)
Associate Professor

Columbia University

Ethan Katz-Bassett
Ethan Katz-Bassett (PI)
Associate Professor
Kostis Kaffes
Kostis Kaffes
Assistant Professor

Duke University

Maria Gorlatova
Maria Gorlatova (PI)
Associate Professor
Tingjun Chen
Tingjun Chen
Assistant Professor
William Brockelsby
William Brockelsby
OIT Network Engineering
Robert Johnson
Robert Johnson
OIT Network Engineering

USC

James Finley
James Finley
Associate Professor

Nokia

Nakjung Choi
Nakjung Choi (PI)
Distinguished Member of Technical Staff

Microsoft

Sharad Agarwal
Sharad Agarwal
Senior Principal Researcher

iGYM

Michael Nebeling
Michael Nebeling
Associate Professor
Roland Graf
Roland Graf
Professor
University of Michigan Logo
Columbia University Logo
Duke University Logo
USC Logo
Nokia Logo
Microsoft Logo
iGYM Logo