DemoStart is a new learning method for robots that leverages reinforcement learning (RL) in simulation. This innovative system was developed by Google DeepMind and uses an auto-curriculum to train robots to perform complex manipulation tasks. The DemoStart approach is based on a few demonstrations and a simple reward system, making the training process more efficient and less reliant on data gathered directly from physical robots. This method stands out for its ability to transfer the skills learned in simulation to the real environment without the need for additional training, paving the way for rapid implementation of new robotic applications.