Seeed Studio's Eric Pan and Elaine Wu discuss how open-source hardware and AI, including integration with NVIDIA's Jetson platform and OpenClaw, are democratizing robotics. They emphasize that affordable, customizable robots and agentic AI enable anyone to build and train physical AI systems.
Summarized by Podsumo
Seeed Studio's $200 SO-ARM and $1,000 Raybot make robotics accessible, enabling anyone to train robots like a dog by demonstration.
Open-source hardware and AI lower barriers, allowing developers from diverse backgrounds to create specialized robots instead of a single general-purpose model.
Integration of OpenClaw with NVIDIA Jetson enables natural language control and agentic AI, transforming robots into autonomous assistants.
Seeed Studio helps startups scale from reference designs to mass production, as demonstrated by the 3,000-unit Raybot launch in five months.
The combination of affordable robotics and simulation (e.g., Isaac SIM) bridges the digital-to-physical gap, accelerating innovation.
"Like you train a dog. You teach it how to do it with holding its hand to do the operations for several times. Then you send all the data back to train on the cloud, deploy on a Jetson. — Elaine Wu"
"I can really give a soul to my creations. It's not just a machine. Some machines that I can talk to, you can get assigned on tasks. This is becoming a new society of robots. — Eric Pan"
"We don't wait for someone to build a humanoid for us. Maybe we don't trust it, maybe it's too expensive. But now everyone can build a robot for themselves. — Eric Pan"