AI of Things: From Digital Brains to Robotic Action | IIA @MIT 2025

As AI moves off the screen and into cars, drones, factory floors—and even space—new challenges arise in perception, control, safety and hardware. In this MIT “AI of Things” panel, experts across robotics, autonomy and chip design unpack:

Why spatial intelligence remains hard (Prof. John Leonard): Marvik’s Paradox and the gap between vision-language models and real-world navigation.

Building “tiny AI” for safety-critical robots (Prof. Daniela Rus): Physics-based liquid & oscillatory networks that fit on-device and guarantee zero-mistake operation.

Lessons from space robotics (Thomas Baker): In situ autonomy, fault tolerance and sensor fusion for extreme environments.

Democratizing robot agency (Anukrati Sharma, Caleb Wang): Multi-agent data sharing, self-learning “robot natives” and accessible edge-AI chips.

Hardware bottlenecks & energy: The sensor, power and compute innovations we must achieve in the next 1–2 years to unleash embodied AI.

Join us to discover how to bridge AI’s digital advances with the physical world—and what stands between today’s prototypes and truly autonomous robots.

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Видео AI of Things: From Digital Brains to Robotic Action | IIA @MIT 2025 канала Imagination in Action