火了！机器人“张江论剑”

Core Insights - The 2025 Global Developer Pioneer Conference and International Embodied Intelligence Skills Competition will be held in Shanghai from December 12 to December 14, focusing on various application scenarios for robots in human life [1] Group 1: Competition Overview - The competition is divided into several zones, including home service, industrial handling, and emergency rescue, aimed at testing robots' service capabilities across key scenarios [1] - The chief judge, Jiang Lei, noted that despite some robots experiencing failures during the competition, these are essential for technological development, with expectations for breakthroughs in humanoid robot stability within three years [1] Group 2: Emergency Rescue Zone - The emergency rescue segment simulates critical firefighting steps such as rapid approach, cross-layer movement, obstacle clearing, heavy load transport, and remote reconnaissance [4] - Robots are tested on their ability to navigate complex terrains, such as rubble and forest fire scenes, with scoring based on their ability to traverse irregular surfaces [4] Group 3: Floral Arrangement Competition - The floral arrangement competition includes basic assessments and advanced contests, ensuring teams can showcase their comprehensive abilities [6] - Robots must demonstrate precision in grasping and executing tasks without damaging the flowers, with scoring focused on the final presentation of the arrangement [6] Group 4: Industrial Handling Zone - The Kepler K2 "Bumblebee" robot successfully demonstrated its capabilities in industrial handling, with features such as an hour of charging for eight hours of continuous work and a 30-kilogram dual-arm load capacity [8] - The competition includes real-world applications, moving beyond laboratory settings to test robots in practical scenarios, highlighting advancements in adapting to unstructured environments [8] Group 5: Data Collection and Industry Challenges - Jiang Lei emphasized the importance of remote operation for data collection in real scenarios, addressing the industry's challenge of high-quality data scarcity [11] - The focus should be on overcoming the "data dilemma" before tackling the "model dilemma," making current remote operations valuable for industry progress [11]