定位、冲刺、带球过"人"、破门得分……随着2025世界人形机器人运动会开幕临近，来自境内外的各支 参赛队伍正在紧锣密鼓地开展训练，机器人运动员们也早已"摩拳擦掌"。 8月4日，在国家速滑馆室外足球赛训基地，清华大学火神队与中国农业大学山海队正展开机器人足球 5v5对抗训练赛。按照比赛规则，机器人需要依靠自主程序完成整场比赛，这对机器人的运动控制、视 觉感知、定位导航、决策规划及多机协作等能力提出挑战。 在对抗训练赛中，新京报贝壳财经记者看到，机器人运动员们在定位足球后便迅速奔袭，过程中不时出 现对抗与碰撞。经过一番激烈对战，山海队最终以1:0战胜火神队。 此外，来自葡萄牙的机器人队伍还展示了人机对战。尽管灵活性稍逊于人类运动员，这些机器人运动员 仍不断带球朝球门发起冲击，看点十足。 以赛促研，高校战队全力备战机器人足球赛 杨少帅表示，"我们使用的硬件平台性能很强大，运控算法已经十分成熟，所以目前我们更聚焦于感知 定位和决策环节的代码优化，而这需要大量的数据支撑，所以在日常训练赛中，我们会有针对性地采集 数据，并应用到机器人比赛中。" "熊猫眼"内备赛忙，7大场景赛考验"真功夫" 作为在今年机器人世界杯（Rob ...

Core Viewpoint - The first human-shaped robot fighting competition, part of the CMG World Robot Competition series, took place in Hangzhou, Zhejiang, showcasing advanced robotic combat capabilities and technology [7][18]. Group 1: Competition Overview - The competition featured four UTree G1 robots controlled by operators from different fields, with one robot wearing black protective gear emerging as the champion [7]. - The event utilized a point system over three rounds, with effective strikes to the head and torso scoring points, and penalties for being knocked down [8]. Group 2: Technical Challenges - The competition tested robots' instantaneous explosive power, requiring strong power systems for quick action responses, and highlighted the importance of control algorithms for precise movement [9][10]. - Robots faced dynamic environments that challenged their stability and control, with many robots showing signs of wear and tear from the competition [11]. Group 3: Learning and Control - The G1 robot has eight basic fighting movements and various combinations, allowing it to perform punches and kicks [14]. - Operators used voice and remote control for real-time manipulation of the robots, emphasizing human-robot collaboration [15]. Group 4: Industry Implications - The extreme testing environment of the robot fighting competition promotes continuous algorithm optimization and performance enhancement, benefiting human production and daily life [17]. - The competition signifies a new phase in robotic demonstrations, pushing companies to improve algorithms and hardware, and increasing the demand for standardized testing protocols in the industry [18].