Android Developers: Building a Formula E co-driver on Android with ML Kit and Gemini Nano

A racing car is a demanding environment of high speed, heat, and telemetry constraints. How can an on-device agent help process real-time vehicle data for sports and engineering applications?



This technical session explores an experimental hybrid architecture combining edge hardware and cloud agents. We'll walk through a research proof-of-concept using a Raspberry Pi to stream CAN bus telemetry, a Pixel phone running an on-device conversational agent powered by ML Kit and Gemini Nano, and an agent-to-agent (A2A) Cloud connection for post-race workflows.



Speakers: Alastair Breeze, Oli Thompson



Chapters:

0:00 - Introduction

1:26 - Challenges of running agents at the edge

3:00 - Why Android is the ideal host

4:34 - Core architecture of an agent

5:45 - Vehicle telemetry and hardware integration

7:41 - Implementation with ADK and ML kit

8:46 - Simulator demonstration

9:30 - Goodwood deployment and track testing

12:27 - Key takeaways and lessons learned



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Event: Android Dev Summit 2073



Products Mentioned: ML Kit, Gemini Nano