Researchers have developed a framework called tinyDSM for small robots to learn new skills on their own. The system uses reinforcement learning and tries to keep the number of pre-programmed skills low, so the robot can adapt quickly to different situations. A millirobot with limited resources was used in experiments to test the framework's effectiveness. The results showed that the robot could learn basic movements and then progress to more complex patterns within 15 minutes. --- Why it matters: This matters because it enables small robots to be more autonomous and adaptable, which is important for applications where they need to navigate complex environments or interact with humans. Source: https://arxiv.org/abs/2608.17596