InOrbit.AI • XR Design • INTERNSHIP
Managing Robot Fleets in Extended Reality
Timeline
3 months
Role
Product Design Intern
TEAM
XR Developer
Senior XR Developer
Platform
Figma
ShapesXR
Meta Quest
TL;DR
Autonomous robot fleets are managed on the factory floor, but the information about them lives on a terminal elsewhere. An operator reads an alert at the desk, then walks out to a robot leaving behind access to real-time data. This work was about closing that gap.
In the summer of 2025, I interned with InOrbit.AI, designing and prototyping mixed-reality solutions for their robot operations software, Space Intelligence. Over three months I worked closely with engineering and executive leadership, designing in Figma, prototyping in ShapesXR and testing on the Meta Quest. You can find two example prototypes below.
Prototype #1
Establishing boundaries directly on the factory floor.
Factory floors are mapped into zones, boundaries that tell a robot where it can and can't go. Today that's done on the dashboard, either against a 3D scan of the environment or by dragging shapes across a floor plan, and either way you're trusting the scan is current. Placing them on the floor removes that step. The room is the reference instead of a record of the room.
Prototype #2
Real-time alerts, anchored to the impacted machine.
When a fault appears, operators are guided to the impacted robot by matter of priority. Additionally, the impacted robot's faults appear adjacent to the machine in XR, highlighting what's failed, how serious the failure is, and what it takes to clear it.
Curious to know more?
There is a good deal more behind this than the page shows. If you'd like to know more, I'd be happy to walk you through it.