Core Insights - The first World Humanoid Robot Games showcased the capabilities of humanoid robots in real-world applications, with Galaxy General winning the sorting skills competition through fully autonomous operation [1][4][6] Group 1: Competition Overview - The sorting skills competition involved 22 teams, with most relying on manual remote operation, while Galaxy General's team, Galbot, operated fully autonomously [4][6] - Galaxy General completed the competition in 10 minutes and 22 seconds, achieving a total score of 336 points, securing the championship [1][6] Group 2: Technical Challenges - The competition tested robots' abilities to handle a wide variety of complex and delicate pharmaceutical products, requiring high precision and stability in operations [4] - Galaxy General faced the challenge of sorting a particularly difficult product, erythromycin ointment, which is small and slender, completing the task in just 4 minutes and 25 seconds, well within the 20-minute limit [6] Group 3: Future Implications - The success in the sorting skills competition is seen as a starting point for Galaxy General, which aims to expand the application of autonomous robots in retail, industrial, and service sectors [6] - The company is focused on advancing embodied intelligence technology, positioning humanoid robots as a significant component of future productivity [6]

Group 1 - The conference titled "Empowering New Energy, Driving the Future" focused on the transformation of achievements by young scientists and the high-quality development of embodied intelligence, held in Shanghai with over a hundred young scientists and 130 entrepreneurs in attendance [1] - Wang He, an assistant professor at Peking University and founder of Galaxy General Robotics, emphasized the integration of various tasks into a unified embodied base model, which will facilitate the rapid deployment of robotics in retail, healthcare, and industrial scenarios [3] - The complexity of tasks in commercial and industrial settings was highlighted, with an example of Galaxy General Robotics autonomously moving tightly stacked boxes in a factory, showcasing the capabilities of robots in handling intricate operations [6] Group 2 - Wang He introduced a synthetic data asset for household environments, creating a high-precision operational model for various clothing types, which is the first globally to be trained entirely on synthetic big data, demonstrating excellent generalization capabilities even with unseen clothing types [6]