HexaShell: Can Debugging Code Generalize RGB Robot Manipulation?
Can a robot improve at manipulation by debugging code instead of updating neural-network weights? This episode explains how HexaShell turns robot experience into reusable tools, and what its RoboDojo score actually establishes. We cover three questions: how calibrated RGB observations become metric positions; why the reported 39.7% success rate uses category-balanced scoring; and how holding out layouts differs from holding out tasks. The experiments use a simulated dual-arm ARX X5 with head and wrist cameras, camera calibration, and proprioception. Along the way, we connect the design to…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.