Robots are drowning in their own data

Robotics does not have a hardware problem. It has a data problem. Every robot on the floor is a firehose that never stops. Cameras, lidar, IMUs, GPS, joint sensors and edge models scream in parallel. The result is terabytes of chaos. Most of it never becomes insight. It rots in a digital junkyard. Teams burn money on sensors and compute while engineers play data janitor. That is the quiet crisis behind the public failures. The popular story blames autonomy. We hear that the model is not good enough or that the actuation stack is flaky. That is not the core issue. The core issue is that robotic data is born ungoverned. It is fragmented across formats, drives, laptops and one-off scripts. When a million dollar robot freezes in a warehouse, the answer is buried in a half terabyte log file