<p>① MIT's Neural Jacobian Fields (NJF) enables robot motion control through visual self-observation, eliminating reliance on physical sensors or digital models;</p><p>② The system maps motor signals to movements using multi-camera training data, achieving real-time 12Hz control with a single camera post-training;</p><p>③ Demonstrated on soft grippers and robotic hands, it shows adaptability but requires per-device training and currently lacks tactile feedback capabilities.</p>