The robotics industry is stuck in its "Lego era," and that is not an insult, it is the honest diagnosis the field needs to hear. Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA's robotics platforms, argues that the fundamental building blocks, actuators, robotic hands, software, safety standards, are still being rebuilt. This view stands in direct contrast to the hype that a single general foundation model is about to unlock humanoid helpers in every home. We agree with Vishwanath, and more importantly, we think her framing clarifies what users should actually expect from robotics in the near term.
Consider the contrast with other sectors where AI has accelerated rapidly. Ramp crosses $2B in revenue as 85,000 customers adopt its AI platform, proving that software-level AI can scale fast when the data and workflows are already digitized. Robotics cannot simply download a better dataset. A robot needs a gripper that does not drop a glass, a motor that does not overheat, and a safety standard that keeps a child safe when the machine moves. Those are hardware and regulatory problems, not just model-weight problems. That is why Vishwanath's "Lego era" analogy is so useful: it acknowledges that the construction is happening, but the pieces are not standard yet. Even sophisticated partners like Volvo deepens its Nvidia alliance to power smarter driving systems, and they are still operating within tightly constrained driving environments, not general-purpose robotics.
The practical implication for anyone evaluating robotics tools is straightforward: do not expect a plug-and-play revolution this year. If you are building a factory floor, a warehouse, or a surgical system, your timeline should reflect that you are assembling a custom structure from semi-standardized bricks, not deploying a finished product. The industry needs more people like Vishwanath willing to say, "We are still building the pieces," because that honesty helps users allocate resources realistically. The hype around a single model solving everything serves nobody outside of press releases.
What we will be watching is which Lego bricks snap together first. Will safety standards converge before dexterous hands improve? Will software abstractions hide the hardware inconsistencies, or will hardware manufacturers finally agree on interface specs? The answer to those questions will determine whether robotics enters its "schematic phase" in five years or fifteen. For now, the most productive thing a robotics team can do is exactly what Vishwanath suggests: stop waiting for the finished product and start building better blocks.