NVIDIA AI Podcast host Noah Kravitz speaks with Seeed Studio CEO Eric Pan and robotics lead Elaine Wu about open-source robot hardware, embodied AI, and building practical robots with NVIDIA technologies.
Eric Pan describes Seeed Studio’s work supporting open hardware communities since 2008 and its newer range of robotic arms and compact robots. The company builds devices around NVIDIA Jetson and supplies components for tasks such as perception and control.
Pan says open development helps people adapt robots to different industries and builds trust by letting users inspect and change systems. Seeed’s community includes hobbyists, students, researchers, startups, and small businesses. He points to the SO-ARM, an open-source arm developed with Hugging Face and priced at about $200, as an accessible starting point.
Wu explains that users can guide a robot arm through a task several times, then send the demonstrations to the cloud for training and run the resulting system on Jetson. The guests describe this approach as useful for skilled workers who want a robot to assist with their own operations. They also demonstrate OpenClaw on Jetson Thor, where text requests can trigger arm movements through local APIs.
Pan introduces the reBot Arm, an open design with a real-to-simulation demonstration in NVIDIA Isaac Sim. He says the project will publish files for customization and aims to cost under $1,000, with Jetson Nano handling local tasks. Wu highlights Hugging Face LeRobot as a shared framework for hardware, datasets, models, and robot training, and notes Seeed helped develop and manufacture 3,000 Reachy Mini units after five months of work.
Pan says Seeed wants its designs to serve as adaptable starting points that customers and startups can modify and scale. Rather than make one general-purpose humanoid, the company is developing separate parts such as arms, hands, chassis, and desktop robots so builders can combine them for specific needs.
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