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第二届世界人形机器人运动会收官了。总奖牌榜上，智元、天工、宇树、加速进化、银河通用包揽前五名。 智元一共派出 4 款产品参赛，全部为量产产品，没有针对比赛进行特化改装，最终拿下本届比赛的金牌榜和奖牌榜第一。 50 个赛项中，智元共获得 46 枚奖牌，包括 18 金、16 银、12 铜。其中，本届新设的灵巧手专项共有 8 枚金牌，智元临界点的量产版 OmniHand 拿下其中 7 枚。场景赛共产生 12 枚金牌，智元拿到 6 枚。舞蹈、武术、乒乓等竞技项目中，智元又获得 5 枚金牌。 如果只看社交媒体，这届运动会最容易留下印象的，可能还是机器人跑得有多快、能不能跳舞、会不会打乒乓球，以及各种摔倒和翻车的瞬间。 比赛确实变得更好看了。赛项从上一届的 18 个增加到 50 个，新增举重、街舞、乒乓球、自由搏击等大量竞技项目，并且新增灵巧手类目比赛。机器人能够完成的动作越来越多。 并且，即使是在这样一场面向大众的机器人赛事中，机器人也开始被放进更真实的环境，并被要求更多地依靠自己完成任务。 从赛制上看，第二届运动会明显提高了对真实作业和自主运行能力的要求。这也是过去一年机器人能力提升之后，必须…

At the World Robot Conference, SynapX unveiled brain, hand, and data product lines instead of a humanoid, betting that general intelligence plus a dexterous hand defines embodied labor.

混驱成为新热门，触觉是标配，落地靠低自由度。 作者丨向 欣 编辑丨高景辉 今年 WRC，灵巧手依然是机器人展区最密集的产品之一。 灵心巧手、曦诺未来、强脑科技、因时机器人、灵巧智能、傲意科技、兆威机电旗下灵巧手品牌 ZWHAND、大寰机器人、帕西尼、中科硅纪、灵掌机器人等灵巧手厂商，都带来了自己的产品；章鱼动力、超维动力、星动纪元等机器人本体厂商，也把自研灵巧手带到了展台上。 逛完 WRC 几乎所有灵巧手展位，并和多家灵巧手公司内部人士聊了一圈后，一个比较明显的感受是：灵巧手的技术路线正在变得越来越清晰。 今年的灵巧手展区，至少出现了三个值得关注的变化： 第一，20 个左右自由度的高自由度灵巧手越来越多，直驱、腱绳、混合驱动三条路线逐渐成形； 第二，触觉正在从「可选配置」变成灵巧手的常规能力，但厂商并没有收敛到某一种传感器路线； 第三，目前真正走量、落地的产品还不是二十多自由度的旗舰款，而是六自由度的五指灵巧手，其次是后起之秀——三指灵巧手。和本体厂商相比，真正把灵巧手放进完整应用场景里的展示仍然不算多。 （本文作者长期关注具身智能、灵巧手赛道，欢迎添加微信Starxin011 交流）…

2016 年博士毕业时，丁文伯手握麻省理工学院和佐治亚理工学院的博士后机会。前者延续了他此前的通信研究，后者则指向跨度更大的柔性电子与电子皮肤。 此前，他已经在清华电子系做了多年通信、雷达与信号处理。选择麻省理工的方向，显然更加顺理成章。 但也是在那个阶段，他观察到，通信研究的重心正在越来越多地从学术界转向工业界；反观柔性电子领域，仍有许多基础问题亟待解决。反复权衡后，他最终选择了佐治亚理工学院，跟随王中林院士从零开始。 “很多人当时不太理解，为什么放弃排名更靠前的学校。”如今回头看，丁文伯说，这次选择也让他逐渐形成了一套自己的研究取向：先判断一个问题是否值得做，再去寻找解决它所需要的学科和工具，而不是顺着惯性一直往下走。 三年后，当丁文伯准备回清华任教时，他又做了一次类似的选择。 彼时，电子皮肤研究多聚焦于材料与器件，他却把目光投向了冷门的视触觉方向。在他看来，这一方向既能借力快速发展的计算机视觉和 AI 技术，也恰好能发挥他在材料、光学与信号处理上的交叉积累。 此后，他逐渐转向机器触觉，并将这些积累带入其中。团队后来开发出的多模态触觉传感器 SuperTac，能够融合多种信号，让机…

arXiv:2608.15917v2 Announce Type: replace Abstract: Large-scale pre-training has made robot policy fine-tuning increasingly data-efficient, but this progress has largely been driven by datasets and embodiments built around simple parallel-jaw grippers. Dexterous, multi-fingered hands remain comparatively data-starved because real teleoperation is costly to scale, while human hand video is off-embodiment and requires lossy pose estimation and retargeting. We introduce Simulation Pre-training for …

arXiv:2606.26663v3 Announce Type: replace Abstract: World Action Models (WAMs) jointly predict future visual observations and actions, but visual futures alone often miss slip, jamming, contact-direction changes, and subtle misalign- ment in contact-rich manipulation. Tactile signals reveal these hidden physical states, yet naive tactile-token injection can disrupt visual dynamics modeling due to the limited scale of tactile data, a phenomenon we term tactile pollution. We in- troduce Tactile-WA…

arXiv:2503.13036v3 Announce Type: replace Abstract: Tactile skins based on electrical impedance tomography (EIT) enable large-area contact localization with few electrodes, but suffer from nonuniform sensitivity that limits force estimation accuracy. This work introduces a dual-channel tactile skin that integrates an EIT layer with a pneumatic pressure layer and a calibration framework that leverages their complementary strengths. The EIT layer provides robust multicontact localization, while th…

arXiv:2608.27186v1 Announce Type: new Abstract: Soft actuators enable dexterous and compliant interaction, but closed-loop task-space control remains challenging due to strong nonlinearities, distributed deformation, and uncertainty in their dynamics. This paper presents a real-time dynamic-model-based task-space feedback and estimation framework based on a non-minimal coordinate discrete elastic rod model formulated in absolute coordinates with holonomic constraints. The resulting structure pre…

arXiv:2608.20817v2 Announce Type: replace-cross Abstract: Tactile sensors are integral components of modern robotic systems, enabling robots to perceive and interact with the physical environment through tactile feedback. Despite their importance, the physical-layer security of tactile sensors has received little attention in prior work. In this paper, we present GhostTac, to the best of our knowledge, the first contactless attack that manipulates tactile sensing via electromagnetic interference…

arXiv:2607.28391v2 Announce Type: replace Abstract: World Action Models (WAMs) combine future-state prediction with robot action generation, but existing approaches largely rely on visual futures. Visual prediction captures scene structure and object motion, yet provides limited supervision for force, deformation, shear, and slip during contact-rich manipulation. This creates two design requirements: tactile futures should carry meaningful physical information, and they should not become privile…

arXiv:2605.27533v2 Announce Type: replace Abstract: Periods of heightened arousal or restlessness can interfere with children's ability to focus, self-regulation, and physically calm. Technologies that encourage embodied self-regulation through tactile interaction may provide a simple and accessible means of promoting calmness. This paper investigates how interaction with a pocket-sized tactile device influences physiological and behavioral markers of calmness in typically developing children. B…

arXiv:2608.22449v1 Announce Type: new Abstract: Forecasting dexterous hand motions from egocentric observations is fundamental to intelligent interactive systems. Existing VLM-based methods typically map observations directly to future motions, overlooking the underlying manipulation process that governs hand-object interactions. Moreover, end-to-end optimization couples manipulation learning with motion synthesis, causing motion-generation gradients to interfere with the pre-learned manipulatio…

arXiv:2608.21894v1 Announce Type: new Abstract: Human tactile perception relies on complex multisensory cues. Yet the relationship between tactile signals and perceptual representations remains poorly understood, limiting the integration of touch in digital environments and human-like robotic perception. To address this gap, we developed a computational framework comprising three interconnected deep learning models that map multisensory touch data to material perception, without relying on hand-…

The second World Humanoid Robot Games wrapped at Beijing's Ice Ribbon with 666 teams and 2,056 robots in 51 events, shifting from raw speed toward dexterous, autonomous and real-scenario work.

第二届世界人形机器人运动会开幕：2056 台机器人齐聚「冰丝带」，666 支队伍竞技 51 赛项 8 月 22 日晚间，第二届世界人形机器人运动会在国家速滑馆「冰丝带」开幕。 本届赛事由北京市人民政府、中央广播电视总台、世界机器人合作组织、亚太机器人世界杯国际理事会联合主办。来自六大洲 16 个国家的 666 支队伍、2056 台机器人参赛，队伍数量较首届增长 138%，机器人数量翻了两番。 开幕式上，田径 100 米大型组预赛率先开跑。来自北京人形机器人创新中心的天工 Ultra 以 9.39 秒的成绩率先冲线，打破了博尔特保持的 9.58 秒人类百米世界纪录。 开幕式运动员入场环节，80 台加速进化 Booster T2 人形机器人迈着整齐步伐，每一台都可独立运算路径、动态调整姿态，行进中还集体变换阵型拼出「BEIJING」字样。 本届赛事赛项从首届的 26 项增加至 51 项，包含 30 项竞技赛和 21 项场景赛，共计 1301 场比赛。新增跳远、举重、拔河、乒乓球等高强度对抗项目；场景赛覆盖工业、物流、消防救援等领域，开展装配上料等赛项；还专门设置灵巧手赛项，包含粉末称量、开…

8月19日，以"人机共生、产需共融"为主题的2026世界机器人大会在北京正式开幕。作为全栈具身智能大模型公司，超维动力携全球首个人形机器人自主乒乓球完整对局成果、SMASH 2.0高动态人形乒乓系统、KAI世界模型、全球最高117个全身自由度的KAIBot高拟人本体、KAI Hand超高自由度灵巧手与KAI Halo第一视角数采头环等全栈矩阵登场，为观众带来一场"看得见、玩得到"的具身智能硬核体验。 SMASH 2.0：全球首个自主完整对局，现场开放人机对打 此前，超维动力已正式发布全球首个人形机器人自主乒乓球完整对局，标志着高速动态场景下"感知—决策—控制"全链路自主能力的里程碑式突破。本届大会，超维动力在展台现场搭建标准乒乓球交互体验区，全面展示基于自主研发的新一代SMASH 2.0系统——从视觉感知、轨迹预测、动作规划到全身控制的闭环串联能力。 乒乓球速度极快、旋转多变、落点难测，留给机器人的反应时间仅在毫秒级，真正难的不只是挥臂，而是肩、肘、腕、腰、腿多关节在极短时间内的协同配合。SMASH 2.0融合高速视觉感知、实时轨迹预测、全身运动控制与具身智能决策，在毫秒级窗口完成来球…

大家好，我是天南，具身算法研究员。这两天专门跑了一趟 WRC。早上八点多进场的时候我心里还有点庆幸，人终于比WAIC少点了？十点之后我就被教育了。等我跟某家展台聊完抬起来头，过道就已经是乌泱泱一片，从A馆走到C馆大概都花了10分钟。一天下来，四个馆我堪堪逛了很小的一部分，主要在逛了一些操作、还有灵巧手和触觉。本来琢磨明天再总结写个大总结，但想了想还是写出来吧。先把今天看到的东西和一些想法简单分享给…

Insider Brief Acorn Robot has raised an angel funding round to further develop a general purpose tactile-focused physical AI model the company says will allow robots to hit the factory floor with no pre-training data. The angel round was led by CM Venture Capital and Nio Capital, with participation from the Shuimu Tsinghua Alumni Seed […]

8月19日，2026世界机器人大会（WRC）于北京正式开幕。作为全球机器人领域极具影响力的产研盛会，大会以“人机共生，产需共融”为主题，集中展示机器人与AI行业技术创新、应用落地的最新突破性成果。 章鱼动力（SynapX）作为物理AI赛道备受瞩目的新锐势力，受邀亮相本次大会，正式发布并展出由SYNWorld具身原生世界基础模型、OctoH-Hand高自由度仿生灵巧手、OctoSense下一代具身数采方案共同构成的“脑-手-数据”技术体系，完整呈现对下一代物理AI技术路线的深度创新探索。 三大产品技术矩阵重磅发布 伴随着“AI进入物理世界”成为行业共识，具身智能已跻身全行业聚焦关注、紧迫投入的核心方向。章鱼动力围绕“脑-手-数据”搭建的独创技术体系，则为全行业探索具身智能落地范式，提供了一条全新路径。 在本次大会上，章鱼动力重磅首发以“脑-手-数据”为内核的三大产品技术矩阵。 其中，“脑”即 SYNWorld 通用世界基础模型，承担机器人的认知、推演与决策职能，让机器人理解不同任务背后共同的物理规律，颠覆性实现跨场景、跨本体的能力泛化与迁移。 “手”即OctoHHand 高自由度仿生灵巧…

This year's World Robot Conference staged a robot 'wedding' on Qixi and unveiled five industry trends: robots moving from technology validation to product validation, world models focused but not as hot as expected, tactile sensing becoming the new focus of dexterous hands, exoskeletons showing initial promise, and joints becoming component suppliers' new battleground.

Shadow Robot 公司 Rich Walker 做客 Robot Talk 播客,谈其为科研与工业界打造的灵巧机器人手;他还以 euRobotics 董事身份在欧洲层面代表机器人中小企业参与政策事务。AI 中文摘要

Schematic showing the materials used in the sensor and the sensing array on a robotic manipulator. Figure from Multiscale-structured miniaturized 3D force sensors. Reproduced under a CC BY 4.0 licence. Robots are becoming increasingly capable in vision and movement, yet touch remains one of their major weaknesses. Now, researchers have developed a miniature tactile sensor […]

Illustration of the radiotherapy room and the occlusion problem faced by ceiling-mounted cameras in this application. What was the topic of your PhD research and why was it an interesting area? My topic of research was developing an optical tactile sensor to track head motion during radiotherapy. I worked on both the hardware and software […]

Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit. Jamie Palmer is co-founder and CTO of Icarus Robotics. He earned a Master’s in Robotics from Columbia University on a full scholarship, researching intelligent, dexterous manipulation in the ROAM lab. Jamie developed and […]