I made a YouTube video covering most of what’s in this post, complete with clips of the robot in action. If you’d rather watch than read, check out the video here: My musubi agent already has a body, the SO-101 robotic arm I built in my last post. Now the challenge is to build the brain that […]
AI agents are pretty fantastic. I use tools like GitHub Copilot and Claude Code daily to code and learn, and they’re a massive help. My biggest complaint is their usefulness today is trapped in the digital realm. And digital agents can’t place a slice of grilled Spam onto a bed of rice or fold nori, […]
In my last post, I discussed why the ChatGPT moment for robotics is likely still 5 years away. But if you can’t wait that long, this post has practical advice on how to start experimenting today. Be warned: the ecosystem is fragmented, the learning curve is steep, and (AI + hardware) == quirky. If you thought LLMs […]
When Physical Intelligence announced the π0 foundation model, I thought a ChatGPT moment in robotics was near. Here was a model that could control different kinds of robots to perform a variety of dexterous tasks. It could fold clothes, make coffee, assemble cardboard boxes, and more. I thought we’d get another post like swyx’s signaling robotics as an emerging capability of the […]
Short on time? The answer is to use Jest, React Native Testing Library, and Detox. Here’s a sample repo with it all wired up: https://github.com/klcantrell/testing-react-native-apps-post. The advantages of building an app with React Native apply when testing the app as well. When building, you write code once and get native apps that work well on […]
The title of this post references the iconic phrase from the London Underground, “Mind the gap.” It’s used to warn passengers about the gap between the train and the station platform. Although hazardous, the gap for these travelers is a natural part of the journey. This post is about another travel hazard, one that I […]