你见过两个机器人拔河吗?不是那种把绳子固定在身上硬拽的蛮力比拼,而是像人类拔河运动员一样——压低重心、调整脚步、感知绳子张力的变化、在对方力竭的瞬间突然发力。
这一幕将在两周后的北京成为现实。8月5日,第二届世界人形机器人运动会组委会公布了今年的赛项设置:8月22日至26日,比赛将在国家速滑馆"冰丝带"举办,共设30余个赛项。最引人注目的是:去年还只是外围展示项目的机器人拔河、机器人乒乓球、人形机器人自由搏击,今年正式纳入官方竞赛体系。
拔河赛的真相:比的是算法不是力气
拔河赛技术代表冯宝运在接受北京青年报专访时说了一句很有意思的话:"人形机器人拔河比的不是力气,而是智控。"
这句话点出了人形机器人比赛和人类体育比赛的本质区别。人类拔河比的是力量、体重、团队协作;机器人拔河比的是平衡控制算法、实时力反馈、步态调整策略、重心动态优化。哪个机器人能在绳子拉力不断变化的情况下保持更低更稳的重心、能更准确地感知对方拉力的波动、能在正确的时机调整脚步和发力方向,哪个就能赢——跟电机功率多大关系不大。
这恰恰是当前具身智能最核心的技术挑战。机器人在实验室的平整地面上走路已经不是问题,但在复杂物理交互中保持平衡、应对不可预测的外力、实时调整运动策略——这些才是真正的难关。拔河、乒乓球、自由搏击这些赛项,本质上是把这些技术难点包装成了观赏性强的体育比赛。
以自由搏击为例:两个机器人对打,不是拼谁的拳头硬,而是拼谁能更准确地识别对方的动作意图、更快地做出闪避和反击决策、在被击中后能快速恢复平衡不摔倒。这需要视觉感知、运动规划、平衡控制、实时决策的全链路协同——比单纯的走路或抓取难了不止一个量级。
乒乓球也是一样。职业乒乓球的球速可以达到每秒几十米,旋转复杂多变。机器人要能实时追踪高速运动的小球、预测轨迹、调整手臂位置和击球角度、控制回球的旋转和落点——这对视觉系统的延迟、机械臂的精度、控制算法的响应速度都是极高的考验。
从Demo到竞技场:具身智能的公开考试
人形机器人运动会的意义,远不止是一场科技表演。它正在成为具身智能行业一年一度的"公开考试"。
过去一年,人形机器人公司的融资新闻此起彼伏:宇树科技IPO、蚂蚁灵波15亿融资、LimX Dynamics 20亿Pre-IPO、Delta Intelligence 5亿美元天使轮——资本疯狂涌入,但公众对机器人实际能力的认知还停留在短视频里走路、跳舞、翻跟头的Demo。
运动会提供了一个公开、公平、可比较的竞技环境。去年第一届比赛的时候,很多机器人连平稳走路都困难,摔倒是常态;今年新增的这些对抗性赛项,说明主办方和参赛队对机器人能力的信心上了一个大台阶。从走路到跑步,从独立行走到物理对抗,具身智能的进步速度肉眼可见。
比赛放在国家速滑馆"冰丝带"也很有象征意义。这里曾经是北京冬奥会的速度滑冰比赛场地,见证过人类运动员的速度与激情;两周后,这里将见证人形机器人在物理世界的"冬奥会"——比的不是更快更高更强,而是更稳更准更聪明。
当然,也要客观看待:现在的人形机器人离真正走进家庭、走进工厂、走进日常生活还有很长的距离。拔河赢了不代表能在复杂地形搬运重物,乒乓球赢了不代表能在杂乱的厨房里做饭。但竞技场是最好的催化剂——比赛会暴露问题,问题会推动研发,研发会带来进步。
去年第一届运动会的时候,有观众调侃"机器人摔跤比走路好看"。今年,让我们看看机器人在冰丝带上能不能站稳脚跟。
明天见。
Have you seen two robots play tug-of-war? Not the brute-force kind where they anchor the rope to their bodies and yank — but like human tug-of-war athletes: lowering their center of gravity, adjusting their stance, sensing changes in rope tension, surging at the exact moment the opponent flags.
That scene becomes reality in Beijing in two weeks. On August 5, the organizing committee of the 2nd World Humanoid Robot Games unveiled this year's event lineup: competition runs August 22–26 at the National Speed Skating Oval, the "Ice Ribbon," with 30+ events. Most notably: robot tug-of-war, robot ping pong, and humanoid robot full-contact combat — demonstration events at last year's inaugural games — are officially joining the competitive program this year.
The Truth About Tug-of-War: It's About Algorithms, Not Force
Tug-of-war technical representative Feng Baoyun said something revealing in an interview with Beijing Youth Daily: "Humanoid robot tug-of-war isn't about strength — it's about intelligent control."
That gets at the fundamental difference between human sports and robot competitions. Human tug-of-war is about power, weight, teamwork; robot tug-of-war is about balance control algorithms, real-time force feedback, gait adjustment strategy, dynamic center-of-gravity optimization. Whichever robot maintains a lower, more stable center of gravity under changing rope tension, more accurately senses fluctuations in the opponent's pull, adjusts its steps and force direction at the right moment — that robot wins. Motor power barely matters.
This is precisely embodied AI's core technical challenge today. Robots walking on flat lab floors is no longer a problem, but maintaining balance during complex physical interactions, responding to unpredictable external forces, adjusting motion strategies in real time — these are the real hard problems. Tug-of-war, ping pong, and combat essentially package these technical challenges into spectator-friendly sports competitions.
Take full-contact combat: two robots squaring off isn't about whose punch hits harder — it's about who can more accurately read the opponent's movement intent, make evasion and counterattack decisions faster, recover balance quickly after being hit. This requires end-to-end coordination of visual perception, motion planning, balance control, and real-time decision-making — orders of magnitude harder than simply walking or grasping.
Ping pong is similar. Professional table tennis balls travel at tens of meters per second with complex spin variations. A robot must track the high-speed ball in real time, predict its trajectory, adjust arm position and racket angle, control return spin and placement — extremely demanding on vision system latency, manipulator precision, and control algorithm response time.
From Demos to the Arena: Embodied AI's Public Exam
The significance of the Humanoid Robot Games goes far beyond a tech showcase. It's becoming the embodied AI industry's annual "public exam."
The past year has seen a flood of humanoid robotics funding: Unitree Robotics' IPO, Ant LingBot's 1.5 billion yuan round, LimX Dynamics' 2 billion yuan Pre-IPO, Delta Intelligence's $500 million angel round — capital is pouring in, but public perception of actual robot capabilities still lags at short videos of walking, dancing, and somersault demos.
The games provide a public, fair, comparable competitive environment. At last year's inaugural games, many robots struggled to walk steadily; falling was normal. This year's new adversarial events signal that organizers and participants have ratcheted up their confidence in robot capabilities by a full notch. From walking to running, from independent locomotion to physical competition, embodied AI's progress is visible to the naked eye.
Holding the games at the National Speed Skating Oval — the "Ice Ribbon" — is also symbolic. This was the speed skating venue for the Beijing Winter Olympics, where human athletes pushed speed and passion; two weeks from now, it hosts the "Winter Olympics" of humanoid robots in the physical world — competing not on citius, altius, fortius but on stability, precision, and intelligence.
Objectively, today's humanoid robots still have a long way to go before truly entering homes, factories, and daily life. Winning tug-of-war doesn't mean they can haul heavy loads across rough terrain; winning ping pong doesn't mean they can cook in a cluttered kitchen. But arenas are the best catalyst — competition exposes problems, problems drive R&D, R&D delivers progress.
At last year's inaugural games, some viewers joked that "robots falling is more entertaining than robots walking." This year, let's see if the robots can hold their ground at the Ice Ribbon.
See you tomorrow.
Humanoid robot tug-of-war isn't about strength — it's about intelligent control.
— Feng Baoyun, Tug-of-War Technical Representative
World Humanoid Robot Games · Beijing · National Speed Skating Oval · Ice Ribbon · tug-of-war · full-contact combat · ping pong · embodied AI · balance control · intelligent control algorithms
Sources · 信源 Sources
- 云南网 - 世界人形机器人运动会8月举办
- 北京青年报 - 世界人形机器人运动会首设拔河赛
- 北京市政府新闻发布会
本文基于 Dawn Vision 认知引擎处理的 10 个源信号生成,经编辑部人工审核。素材来源:云南网、北京青年报、北京市政府发布会。
This article was generated by the Dawn Vision cognitive engine processing 10 source signals, with human editorial review. Sources: Yunnan Net, Beijing Youth Daily, Beijing Municipal Government press conference.