National Robotics Week - Latest Physical AI Research, Breakthroughs and Resources

This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world - as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond.

Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual environments to real-world deployment faster than ever.

With NVIDIA platforms for simulation, synthetic data and AI-powered robot learning, developers now have the tools to build machines that can perceive, reason and act in complex environments.

Check back here all week for coverage on the latest NVIDIA physical AI technologies.

Accelerating How Utility-Scale Solar Projects Are Built in the Field Maximo, a solar robotics business incubated within The AES Corporation, recently completed a 100-megawatt solar installation using its robot fleet. Developed with NVIDIA accelerated computing, NVIDIA Omniverse libraries and the NVIDIA Isaac Sim framework, Maximo demonstrated that autonomous installations can operate reliably for utility-scale projects.

https://blogs.nvidia.com/wp-content/uploads/2026/04/maximo-nrw.mp4

The solution improves installation speed, safety and consistency, helping close the gap between rising demand for faster time to power and construction capacity.

As solar expansion faces ongoing labor constraints and rising demand, AI-driven field robotics systems like Maximo are helping accelerate infrastructure buildout, reduce costs and redefine how energy projects are delivered.

Aigen Advances Sustainable Farming With Agricultural Robotics To help regenerate the Earth, Aigen's solar-powered autonomous robots are breaking farmers' dependency on chemicals through precision weed control powered by vision AI.

The NVIDIA Inception startup is building a new kind of farming system that's powered by clean energy and continuously enriched by data. Aigen's fleet of solar-driven rovers uses advanced computer vision to identify and remove weeds, dramatically reducing the need for herbicides.

Farming has no standard environment. Every field is different - different crops, different soil, different equipment, weeds, growth stages and geographies. That fragmentation makes real-world data collection slow, expensive and inconsistent. By post-training NVIDIA Cosmos open world foundation models on their specialized data and harnessing NVIDIA Isaac Sim pipelines, Aigen is building the system that generalizes for millions of agriculture scenarios.

On the ground, each rover runs inference using an NVIDIA Jetson Orin edge AI module to distinguish crops from weeds in real time.

https://blogs.nvidia.com/wp-content/uploads/2026/04/Aigen_Element_Weeding_1.mp4

Using these rovers, farmers can grow crops more sustainably and profitably, using regenerative practices that heal the land and foster ecological balance.

Explore the Best of GTC 2026 Sessions Learn about the breakthroughs shaping the next chapter of AI anytime, anywhere.

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