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Insights from the Frontier of Robotics AI
Engineering perspectives on simulation, synthetic data, imitation learning, and the infrastructure that powers modern robotics.
From Two Hands to Two Robot Arms: Building a Bimanual Data Pipeline in Simulation
Where We Started The Hardware Ceiling We Hit Early Building a robot training pipeline from scratch means confronting the data problem early. For robots to...
Synthetic Data, Silent Failures: What Sim-to-VLA Conversion Gets Wrong
The robot moved confidently in the wrong direction. Not random noise — that would have been easier to diagnose. The motion had geometric coherence. The...
The Annotation Bottleneck — Failure Modes, Diagnostic Signals, and a Validation Framework
The Problem Nobody Talks About Synthetic data generation pipelines for robot imitation learning have matured fast. Tools like IsaacMimic and SkillGen can take a handful of human demonstrations and...