Part 4/10:
Diffusion Method: Borrowed from image-generation AI, this technique predicts robot actions amid uncertainty, smoothing out the learning curve and allowing adaptation to variations—like different lace tightness—without extensive retraining.
Enhanced Hardware Ergonomics: Upgraded robotic arms provide more precise and flexible movements, which are vital for coordinating complex, two-handed tasks such as gear insertion or garment hanging.
Handling Deformable Objects: A standout feature is the ability to manipulate soft, flexible materials—something historically difficult for robots—making tasks involving cloth or rope feasible.