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RoboTaxi Multi-Agent Communication
Learn how an event‑driven architecture enabled thousands of autonomous RoboTaxis to coordinate rides, with live demo of asynchronous, loosely‑coupled AI agent communication.
What happens when autonomous vehicles need to communicate with passengers, dispatchers, traffic systems, and each other in real time? Building a RoboTaxi platform taught me that traditional AI architectures crumble under the complexity of large-scale multi-agent communication.
In this talk, I’ll share hard-won lessons from architecting a distributed AI system where hundreds of autonomous agents coordinate thousands of rides daily. You’ll discover why point-to-point agent communication creates a brittle mess, and how event-driven architecture (EDA) becomes the nervous system that keeps everything connected.
Through a live demo of the RoboTaxi platform, I’ll show you:
- How AI agents can communicate asynchronously without tight coupling
- The architecture decisions that separate toy demos from production-ready AI systems
Whether you’re building chatbot networks, autonomous systems, or multi-agent AI applications, this session will give you the architectural foundation to scale beyond the prototype phase.
Let’s take this ride together.
Event-driven Kafka microservices utilize Claude AI and Mapbox for live simulation.
Meridian is a robotaxi leveraging distributed event-driven architecture for AI agents.