Humanoid robots lack data to keep pace with explosive rise of AI

The recent International Humanoid Olympiad held in Olympia, Greece, showcased humanoid robots competing in sports like boxing and soccer, highlighting their growing capabilities. Despite these advances, humanoid robots remain significantly behind AI software in learning from data, with experts estimating they are roughly "100,000 years" behind due to limited data availability. Organizers and researchers emphasize that while AI tools benefit from vast datasets enabling rapid advancement, humanoid robots struggle to acquire and process comparable real-world data, which hinders their ability to perform complex, dexterous household tasks. Experts predict that humanoid robots may first find practical use in space exploration before becoming common in homes, a transition expected to take over a decade. To address this gap, researchers are exploring reinforcement learning techniques that allow robots to learn from real-time experiences rather than relying solely on pre-programmed actions. Additionally, innovative approaches such as developing biological computer brains using real brain cells on chips aim to enable robots to learn and adapt more like humans. The Olymp