A fascinating application of deep learning in robotics is the prediction of weight distribution to control lower-limb exoskeletons. Study highlights:

• Real-time prediction using joint kinematics data.
• Training on treadmill walking data, tested on various users.
• Highly accurate fits and suitable for real-time control.

The implications for assistive technology are profound, signaling strides in making exoskeletons accessible and responsive. For more information, read here.