ByteDance Seed team has just demonstrated a truly shoe-tying robot — it sounds simple, but the technical difficulty is extremely high.

The core breakthrough lies in their development of the GR-RL framework. This system combines visual language action strategies and is trained through reinforcement learning for specialization, capable of handling long-term sequential tasks and the millimeter-level precise manipulation of soft, deformable objects like shoelaces.

In other words, the robot not only needs to "understand" the entire process but also must learn to precisely control each movement when operating soft, easily deformable objects. This is a substantial progress in the field of robotics — a leap from theoretical models to practical operational ability. In line with the current AI development direction, such embodied intelligence breakthroughs are changing our understanding of machine learning.