首届人形机器人马拉松落幕，仅一款无需更换电池

Core Viewpoint - The article emphasizes that lightweight design and low power consumption are critical for enhancing the battery life of humanoid robots, as demonstrated in the recent humanoid robot half marathon where battery endurance was a central challenge [2][3][9]. Group 1: Event Overview - The first humanoid robot half marathon took place, highlighting the challenge of battery endurance, with only one robot completing the race without a battery change [2]. - The "Walker II" robot from Shanghai Zhuoyide achieved third place, showcasing a single charge endurance of 6 hours, sufficient for over 30 kilometers [2][3]. Group 2: Technological Insights - The success of "Walker II" was attributed to innovative structural design and control strategies that achieved significant weight reduction and energy efficiency, weighing only 28 kg compared to competitors [3]. - The champion robot, "Tiangong Ultra," faced limitations with a runtime of 2 hours and 40 minutes, requiring a battery change during the race, illustrating the current challenges in battery technology [4]. Group 3: Battery Technology Developments - Battery manufacturers are exploring various technological upgrades, including higher energy density materials to enhance the capacity of cylindrical cells, with examples like the 21700-5.0AH battery achieving over 270Wh/kg [6]. - Solid-state battery technology is being pursued, with companies like GAC Group planning to launch humanoid robots with solid-state batteries that promise 6 hours of runtime and an 80% reduction in energy consumption [7]. Group 4: Industry Collaboration and Future Outlook - The article suggests that improving overall endurance requires close collaboration between battery manufacturers and robot makers, with market expectations for humanoid robots to achieve 8 to 10 hours of runtime for basic applications [9]. - The marathon highlighted the technological shortcomings related to battery endurance, potentially accelerating innovation in structural design, material selection, and algorithm optimization within the industry [9].