Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
Most improvements to AI systems happen before deployment: better training data, better fine-tuning, better RLHF. Once the model is out in the world, you generally get the performance you trained
Imagine if every time a human hand reached into a dark shelf or pinched a small component, the robot’s vision system simply guessed where the fingers went. This is the current reality of robotic development. We’ve spent years perfecting single-view pose estimation only to hit a persistent technical ceiling: the
