Robotics may not have reached its dramatic “ChatGPT moment” yet, but that may be a sign of how much important groundwork is now being laid. Amulya Vishwanath, a former Nvidia robotics product marketing leader, describes the field as being in its “Lego era”: a period where the essential pieces are being rebuilt, refined, and connected.
Those pieces include actuators, robotic hands, software stacks, simulation tools, and safety standards. Unlike purely digital AI systems, robots must operate in messy, unpredictable physical environments, which makes progress harder—but also potentially more transformative once the technology matures.
Why this matters
The encouraging news is that robotics is advancing across multiple layers at once. Better AI models, improved hardware, and stronger developer platforms are helping the industry move toward robots that can learn more flexibly and perform useful tasks in real-world settings.
- Hardware is improving: More capable components can make robots safer, cheaper, and more dexterous.
- AI is expanding robot potential: Foundation models may help robots generalize across tasks instead of being narrowly programmed.
- Safety is becoming central: Standards and testing will be key to deploying robots at scale.
While the breakthrough moment may still be ahead, this “Lego era” suggests a healthy and necessary phase of construction. If these building blocks continue to improve, robotics could become one of AI’s most meaningful real-world frontiers.