Gemma couldn't tell my robot was upside down, so I gave it a head camera. Now I sleep while it trains.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady At step 100,000, my robot was lying on its back with its legs in the air, kicking. The reward curve said it was having its best run yet. step 0 step 100,000 I'd written a reward term to keep its body level and got the sign wrong, so it was paid for tilting. Over 600,000 training steps the reward climbed…
I created a robot-learning watchdog to monitor training sessions overnight, allowing me to sleep through the process. The system uses a head camera to monitor the robot's posture, reads training metrics, and checks for signs of trouble. If anything looks amiss, it sends a notification, and in the morning, it provides a detailed report with a time-lapse, reward curve, and summary of any issues.
The setup is built for open models on a laptop with limited resources, and it was developed during the Hacktoberfest 2026 Open-Source AI Challenge.
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