AI-systeem helpt robots virtuele training naar werkelijkheid over te brengen

UK researchers have developed an AI-based training method that enables robots to transfer skills learned in virtual simulations to real-world tasks more effectively, significantly reducing the need for costly and risky physical testing. The system, created by Aston University and the University of Birmingham, addresses the "sim-to-real gap" by using AI to generate environmental variations during training, allowing robots to adapt to unpredictable real-world conditions like sensor noise and material changes. This approach combines simulation efficiency with minimal real-world data collection,