Physical AI is more than robots, says the Nvidia veteran now investing in it
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Physical AI is more than robots, says the Nvidia veteran now investing in it

October 18, 202617 views2 min read

Amulya Vishwanath, a former NVIDIA robotics executive, argues that robotics is still in its 'Lego era,' emphasizing the need for foundational physical components before AI can fully drive the field forward.

Amulya Vishwanath, a veteran of NVIDIA’s robotics division who spent seven years leading product marketing for the company’s robotics platforms, has offered a contrarian view on the current state of robotics. Speaking about the field's evolution, Vishwanath asserts that robotics is currently in a nascent phase he describes as the 'Lego era,' where foundational components such as actuators, robotic hands, software frameworks, and safety standards are still being developed and refined.

Building Blocks, Not Breakthroughs

This perspective challenges prevailing narratives that robotics is on the brink of a transformative moment driven by general foundation models. While many in the industry are betting on AI models to unlock the next wave of automation, Vishwanath emphasizes that the physical world of robotics still requires substantial groundwork. 'We're not at the point where we can just plug in a model and have a robot perform complex tasks,' he said, highlighting the need for robust, standardized physical components before AI can truly take the lead.

Investing in the Foundation

Currently, Vishwanath is investing in this foundational stage of robotics, believing that the real opportunities lie in developing the building blocks rather than waiting for a singular AI breakthrough. His investment strategy focuses on startups and technologies that are addressing core engineering challenges in robotics, such as improving dexterity, enhancing safety protocols, and creating more adaptable robotic hardware. 'We're in the early days of physical AI, and the most promising ventures are those that are solving real-world engineering problems,' he noted.

Conclusion

Vishwanath’s insights suggest that while AI may be the catalyst for future robotics advancements, the field’s true potential lies in its physical implementation. As the industry continues to evolve, investors and innovators who focus on the fundamental components of robotics are likely to see the most sustainable growth.

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