Think First, Grasp Later: Why Robots Need Reasoning Benchmarks
Opening — Why this matters now Robotics has reached an awkward adolescence. Vision–Language–Action (VLA) models can now describe the world eloquently, name objects with near-human fluency, and even explain why a task should be done a certain way—right before dropping the object, missing the grasp, or confidently picking up the wrong thing. This is not a data problem. It’s a diagnostic one. ...