Mission Robotics — Copilot for Autonomy

Overview

Mission Robotics explored how domain-specific copilots could accelerate human–robot collaboration in mission-critical environments. Drawing on the success of the “ChatGPT Mission Planner” with LMCO, our goal was to demonstrate how Copilot within Teams could generate executable mission plans — a list of GPS waypoints validated by humans — to support diverse tasks such as hotspot identification and target location.

Process

I led the UX vision by illustrating potential operator journeys, wireframing and prototyping the Teams Copilot experience, and creating narrative storyboards to show how human, AI, and robot systems could coordinate effectively. Partnering with subject matter experts (SMEs), I researched mission workflows, constraints, and operator needs, then shaped design explorations into interactive prototypes tested with stakeholders. My role also included grounding the designs in Responsible AI and accessibility principles, ensuring the Copilot interface worked inclusively across operator groups.

Impact

The concept became one of three reusable domain-specific copilots within the team, demonstrating how Teams could serve as a trusted collaboration hub for autonomy. The design narratives and prototypes I built helped leadership and stakeholders visualize the future of fleet operations, while providing engineering partners with a clear path toward implementation. This work accelerated stakeholder alignment, validated the feasibility of Copilot for Autonomy, and set the stage for scalable Copilot solutions in defense and industrial domains.