从“参数比拼”到“赛场检测” 机器人行业“数据难题”待解

Core Insights - The article discusses the advancements in humanoid robots, predicting significant improvements in stability and autonomy within the next three years [1] - The Global Developer Pioneer Conference and International Embodied Intelligence Skills Competition will take place in Shanghai, showcasing various applications of robots in real-life scenarios [1] Group 1: Competition Overview - The competition features different application scenarios, including home services, industrial handling, and emergency rescue, aimed at testing robots' service capabilities across key areas of human life [1] - The chief judge, Jiang Lei, emphasized that the mistakes made by robots during the competition are part of the necessary process for technological development [1] Group 2: Emergency Rescue and Industrial Handling - In the emergency rescue section, robots are tested on their ability to navigate complex terrains, simulating real-life scenarios such as navigating through rubble and performing critical firefighting tasks [2] - The industrial handling section showcased the Kepler K2 "Bumblebee" robot, which demonstrated its ability to operate in a production environment with a load capacity of 30 kilograms and a working duration of 8 hours after a 1-hour charge [3] Group 3: Floral Arrangement Competition - The floral arrangement competition tested robots on their precision and ability to perform delicate tasks, such as inserting flowers into vases without damaging them [2] - The competition included both basic and advanced assessments to ensure comprehensive evaluation of each team's capabilities [2] Group 4: Industry Insights - The competition is seen as a "high-pressure test" for robots, moving beyond laboratory settings to real-world applications, highlighting the industry's shift towards understanding and adapting to unstructured environments [4] - Jiang Lei pointed out that many robots still rely on remote control, which is valuable for collecting real-world data, addressing the industry's current challenge of high-quality data scarcity [4]