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NVIDIA AI Podcast · May 27 · 29 min

Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300

Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of Robotics Elaine Wu explain how open hardware, the OpenClaw agentic framework, and NVIDIA Isaac Sim are turning robot arms into controllable, teachable agents—and what it takes to bring these physical AI tools into real‑world settings responsibly. 🔬Topics covered: Why open source is the fastest path to accessible robotics How the $200 SOR arm (with Hugging Face) lowers the barrier to embodied AI Training robot arms like a dog: from months of coding to intuitive hand‑guided learning OpenClaw on Jetson: turning natural‑language commands into robot skills Using NVIDIA Isaac Sim and digital twins to bridge simulation and real‑world deployment Building modular robot parts (heads, arms, wheels) instead of monolithic humanoids Chapters: 00:00 – Welcome and introductions 02:00 – From open hardware modules to robotics and edge AI 05:00 – Why open source drives adoption and trust in robotics 09:00 – The $200 SOR arm: open source with Hugging Face 12:00 – Training robot arms like a dog: intuitive, hand‑guided learning 15:00 – OpenClaw on Jetson: text‑to‑robot control 20:00 – Isaac Sim and digital twins: bridging simulation and reality 27:00 – Modular design: heads, arms, wheels instead of humanoids 32:00 – Everyone can participate in physical AI: closing thoughts

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show notes

Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of Robotics Elaine Wu explain how open hardware, the OpenClaw agentic framework, and NVIDIA Isaac Sim are turning robot arms into controllable, teachable agents—and what it takes to bring these physical AI tools into real‑world settings responsibly.


🔬Topics covered:

Why open source is the fastest path to accessible robotics

How the $200 SOR arm (with Hugging Face) lowers the barrier to embodied AI

Training robot arms like a dog: from months of coding to intuitive hand‑guided learning

OpenClaw on Jetson: turning natural‑language commands into robot skills

Using NVIDIA Isaac Sim and digital twins to bridge simulation and real‑world deployment

Building modular robot parts (heads, arms, wheels) instead of monolithic humanoids


Chapters:

00:00 – Welcome and introductions

02:00 – From open hardware modules to robotics and edge AI

05:00 – Why open source drives adoption and trust in robotics

09:00 – The $200 SOR arm: open source with Hugging Face

12:00 – Training robot arms like a dog: intuitive, hand‑guided learning

15:00 – OpenClaw on Jetson: text‑to‑robot control

20:00 – Isaac Sim and digital twins: bridging simulation and reality

27:00 – Modular design: heads, arms, wheels instead of humanoids

32:00 – Everyone can participate in physical AI: closing thoughts