Four robots, 100 megawatts, 18,000 homes powered. AES’s Maximo 3.0 autonomous solar installation robots just completed the world’s first grid-scale solar buildout by an AI-driven fleet — at the 1 GW+ Bellefield complex in Kern County, California.
The Hardware
Each Maximo unit is a purpose-built robot that uses cameras, sensors, and computer vision neural networks to identify tracker structures and place solar panels onto racking systems autonomously. Version 3.0 installs over one module per minute. Crews alongside the fleet hit 24 modules per shift hour per person — nearly 2x traditional methods. Started with one robot, scaled to a coordinated four-unit fleet.
AES is Fortune 500, NVIDIA Inception backs the program.
NVIDIA Isaac Sim + AWS Under the Hood
Maximo’s autonomy stack runs on NVIDIA Isaac Sim and Omniverse — open robotics simulation with public APIs and SDKs. Full sim-to-real pipeline: digital twins, synthetic data, perception testing, then field deployment. Developers can tap the same Isaac ecosystem for fleet coordination and navigation.
AWS handles field ops — scalable compute, automated delivery, and real-time construction intelligence feeding data back into performance loops.
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