Former Nvidia robotics lead says robots are still in a "Lego era"

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In short: A former Nvidia robotics leader says robotics is still missing key basics, so it has not had a widely visible “ChatGPT moment” yet.

What's going on

Amulya Vishwanath, who spent seven years working on Nvidia’s robotics efforts, says robotics is currently in its “Lego era.” By that, she means the industry is still putting together the standard parts needed to build reliable robots.

She pointed to building blocks like actuators (the parts that make a robot move, like motors), robotic hands, software, and safety standards. Vishwanath’s view is that many of these pieces are still being rebuilt and made more consistent across the industry.

This clashes with a popular idea in tech that robotics is close to a big breakthrough, driven by a “general foundation model.” That term means one large AI model trained on lots of data that can be adapted for many tasks, instead of a separate system for each task. Some people think one broadly capable model could make today’s specialized robot work less important.

Vishwanath shared her perspective on TechCrunch’s Equity podcast in a conversation with host Dominic-Madori Davis. The episode also covers her work as founder and managing partner of Techable VC, where she invests in what she calls “physical AI,” meaning AI used in real-world systems like robots and new materials.

What to watch

If Vishwanath is right, progress in robotics may depend less on one big AI model and more on improving basic hardware, safety rules, and dependable software. The key signal to watch is whether more robots start working smoothly outside lab demos, in messy real places like warehouses, hospitals, and homes.

Source: TechCrunch AI