Chinese tech giant ByteDance has achieved a breakthrough in robotics with the development of a reinforcement learning model enabling robots to perform delicate tasks like tying shoelaces with unprecedented precision. Announced on December 2, 2025, the innovation marks a significant leap in automation capabilities beyond controlled laboratory environments.
The new model demonstrates an 83% success rate in threading shoelaces—nearly double the 45% rate achieved through traditional imitation-based training methods. This advancement addresses longstanding challenges in robotic dexterity, particularly for tasks requiring fine motor skills and adaptive problem-solving.
Industry experts suggest this technology could revolutionize sectors from manufacturing to healthcare, where precise manipulation of flexible materials is critical. The development aligns with broader efforts across Asia to lead in AI-driven automation solutions, with China maintaining its position as a global innovator in smart manufacturing technologies.
