Brief news summary

Researchers at the Massachusetts Institute of Technology, led by Ge Yang, have developed a training platform named "LucidSim" that enables a robot dog to learn complex skills, such as chasing a ball and overcoming obstacles. This innovative approach combines widely-used computer simulation software, which adheres to real-world physics, with a generative AI model to create diverse artificial environments, like stone pathways. By using images and videos generated in these simulated environments, the robot dog is able to acquire the necessary skills to navigate and interact with its surroundings effectively, showcasing the power of integrating AI and robotics.