Robotics
2026-03
Building and programming autonomous robots — exploring hardware, control systems, and what it means to give machines physical agency.
I started getting into robotics in early 2026, and it's been one of the most humbling things I've worked on. Software is forgiving — you can iterate quickly, errors are reversible, and the feedback loop is fast. Hardware is the opposite. A robot doesn't care about your logic if the motors can't execute it.
The early focus has been on fundamentals: understanding control systems, sensors, and what it actually takes to make a machine navigate an environment reliably. I wrote about starting this journey in my March 2026 newsletter — the short version is that robotics sits at the intersection of everything I find interesting: AI decision-making, physical systems, and real-world constraints that force you to think differently than you do when writing pure software.
The longer-term goal is to understand embodied AI — systems that don't just process data but interact with the physical world. The gap between a language model and a robot that can reliably complete a task in a messy environment is enormous, and I want to understand why.
This is early-stage work. More to come.