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Nov 1Sun
  1. 机器人全球资讯 · 微信公众号60

    Humanoid Robots Accelerate Into Factories Across China: What Else Must They Learn to Do the Work?

    Shanghai has proposed deploying 8,000 humanoid robots into factories by 2028, while Jiangsu, Shenzhen and other regions are also advancing real-scenario training and production-line deployment; companies including SAIC and CATL have disclosed application progress. Most deployed cases are concentrated in decomposable processes such as cell grabbing and loading, test loading and unloading, and material handling and sorting. For example, AgiBot's "Nengzai No. 1" works at about one unit every 2 seconds on Buick's battery mass-production line, and Galbot S1 has entered CATL's production line to handle material handling and sorting. The article notes that entering factories still requires passing hurdles in stability, battery life and cost accounting, and cross-factory replication also requires reducing technology adaptation and system integration costs.

Oct 31Sat
  1. 移动机器人产业联盟 · 微信公众号22

    Hangcha Group Q3 revenue 5.024 billion yuan; Lanjian Intelligent signs 258 million yuan lithium battery project; Inge Intelligent launches Messol-B loading and unloading robot

    Hangcha Group's third-quarter operating revenue was 5.024 billion yuan, up 7.45% year on year, and net profit attributable to shareholders was 575 million yuan, down 9.76% year on year. Multiple scenarios at its Hengfan plant have completed trial runs of unmanned forklifts, and forklift robots are expected to be brought to market next year. Lanjian Intelligent signed a warehousing and logistics equipment project for phase two of Wuhan Chuyang New Energy, valued at about 258 million yuan. Inge Intelligent launched the Messol-B embodied intelligent loading and unloading robot, equipped with its self-developed OmniPredict 2.0 loading and unloading world model.

  2. The Humanoid Hub40

    Zhiyuan's Peng Zhihui proposes Worken metric for robot workload

    Peng Zhihui of Zhiyuan Robotics proposed using Worken (Work + Token) to measure a robot's actual workload, with the formula: number of active robots × autonomous working hours × output efficiency. It counts only time spent genuinely executing tasks and running autonomously, with output compared against a human baseline. The metric draws on cloud computing's usage-based metering approach and is intended to shift the industry's competition from shipment volumes, units off the line, and fleet size toward work actually completed.

Oct 30Fri
  1. 机器人前瞻 · 微信公众号78

    AgiBot releases WITA-OMNI interaction model and Lingqu OS 1.0, full open source by year-end

    At its 2026 Innovation Day, AgiBot released WITA-OMNI, an embodied omni-modal end-to-end interaction large model. It ranked first on four benchmarks: Daily-Omni, TimeLens-Bench, EmbSpatialBench, and MMAU, with an average response time of about 600 milliseconds.

    Why it matters: AgiBot released an interaction model, a native operating system, and an ecosystem plan all at once, giving readers a way to understand its path to opening up its technology foundation and how it accumulates real-world interaction data.

  2. 机器之心 · 微信公众号88

    Tsinghua, AgiBot and Infinigence AI propose Collective Experience Learning (CEL), validated on 96 real robots for scalable gains

    Tsinghua University, AgiBot and Infinigence AI jointly proposed the Collective Experience Learning (CEL) paradigm and completed prototype validation on 96 robots. In a phone-packaging task, the trained policy completed 120 tests on two robots of the same model that did not participate in training, raising the success rate from 79.2% to 98.3% and reducing failures from 25 to 2.

    Why it matters: The 96 real robots validated the scalable gains of collective experience sharing, giving readers a way to understand one path toward robots autonomously accumulating experience instead of relying on human demonstrations.

  3. Xbotics具身智能实验室 · 微信公众号88

    Infinigence AI, Tsinghua and AgiBot propose collective experience learning (CEL) paradigm, validated on 96 robots

    Infinigence AI, together with Tsinghua University and AgiBot, proposed the collective experience learning (CEL) paradigm and completed prototype validation on 96 robots. In a phone packaging task, a policy trained with CEL completed 120 tests on two robots of the same model that did not participate in training, with success rate rising from 79.2% to 98.3%; when the number of robots participating in learning increased from 16 to 96, the test success rate rose from 86.7% to 98.3%.

    Why it matters: Readers can learn about a training paradigm that lets robots share successes and failures and reduces reliance on human demonstration, as well as its validation results on 96 real robots.

  4. 36Kr Embodied Intelligence71

    Critical Point releases OmniGlove Pro data-collection glove and begins mass-production delivery

    At the dexterous manipulation sub-forum of AgiBot Innovation Day, Critical Point released the OmniGlove Pro data-collection glove and began mass-production delivery. It focuses on "real-robot-ready" data that aligns human hands with real robots using high-precision EMF positioning and full-hand tactile collection.

  5. AgiBot38

    AgiBot proposes Worken framework for measuring effective robot work

    AgiBot has proposed a robot workload measurement framework called Worken, which multiplies three factors—the number of active robots, autonomous working hours, and output efficiency ratio—to estimate the effective intelligent work hours completed by robots in real deployments. The framework was proposed by co-founder, president, and CTO Peng Zhihui, and emphasizes distinguishing powered-on time from autonomous operating time, and measuring qualified output against task benchmarks.

  6. 36Kr Embodied Intelligence82

    AgiBot, Tsinghua, and Infinigence AI Release CEL Collective Experience Learning Paradigm, Achieving Autonomous Cluster Evolution with 96 Real Robots

    On October 30, AgiBot, together with Tsinghua University and Infinigence AI, released the collective experience learning paradigm CEL, which draws on the real operational trajectories of robot peers as its source of experience, accompanied by the FERT failure-guided experience retrieval fine-tuning algorithm and the FATS fault-tolerant asynchronous training system. Across five real-world tasks—flower arranging, clothes folding, phone charging, stool assembly, and phone packaging—CEL-trained policies all exceeded the average level of 6 human teleoperators, leading by up to 16.7 percentage points. In the phone packaging task, the number of robots participating in training expanded from 16 to 96, and the success rate rose from 86.7% to 98.3%.

    Why it matters: Readers can learn about a collective learning paradigm that draws on the real trajectories of peers as its source of experience, as well as the success-rate changes in cluster training with 96 real robots.

  7. 3D视觉工坊 · 微信公众号88

    Infinigence AI, Tsinghua and AgiBot propose Collective Experience Learning (CEL), validated on 96 robots with 98.3% success rate

    Infinigence AI, together with Tsinghua University and AgiBot, proposed the Collective Experience Learning (CEL) paradigm and completed prototype validation on 96 robots. In a phone packaging task, policies trained with CEL completed 120 tests on two robots of the same model that did not participate in training, with the success rate rising from 79.2% to 98.3%; when the number of robots participating in learning increased from 16 to 96, the test success rate rose from 86.7% to 98.3%.

    Why it matters: Fault-tolerant asynchronous training across a 96-robot real-machine cluster and failure-guided experience retrieval provide a reproducible system and scale-benefit data for Collective Experience Learning.

  8. 雷科技84

    AgiBot and Tsinghua Release CEL Collective Experience Learning Paradigm, Achieving Autonomous Swarm Evolution with 96 Real Robots

    AgiBot, together with Tsinghua University and Infinigence AI, released the collective experience learning paradigm CEL, which lets robots use the success and failure trajectories of their peers as learning material, with humans only responsible for judging outcomes. Across five real-world tasks—flower arranging, clothes folding, phone charging, stool assembly, and phone packaging—policies trained with CEL all exceeded the average level of 6 human teleoperators, leading by up to 16.7 percentage points; in the phone packaging task, the number of robots participating in training expanded from 16 to 96, and the success rate rose from 86.7% to 98.3%.

    Why it matters: AgiBot and Tsinghua released the CEL collective experience learning paradigm, validating with 96 real robots that increasing the number of robots can directly improve task success rates.

  9. OFweek Robotics42

    Bringing acceptance testing before the camera: humanoid robots only truly began answering the "employment" question this year

    Humanoid robots are moving from launch-event stages to real-world settings such as the Canton Fair and cinemas for public testing. Guangzhou Zhidong Future deployed robots across five scenarios at the Canton Fair simultaneously, while Dobot's Atom worked 14 consecutive hours in a single day at a Shenzhen cinema and sold over 1,000 cups of popcorn.

  11. 雷科技78

    AgiBot Innovation Day releases Worken work-hour metric and Lingqu OS 1.0

    At AgiBot Innovation Day on October 29, AgiBot proposed Worken (effective intelligent work hours), a measurement standard whose formula is number of active robots × autonomous working hours × output efficiency ratio, and released Lingqu OS 1.0, a native operating system for embodied intelligence.

    Why it matters: At Innovation Day, AgiBot proposed the Worken work-hour metric and open-sourced Lingqu OS, giving readers a way to observe new paths for embodied intelligence commercialization and ecosystem openness.

  12. 量子位72

    Tsinghua University, Infinigence AI, and AgiBot propose collective experience learning CEL, validated on a 96-robot cluster

    Tsinghua University, Infinigence AI, and AgiBot jointly proposed the collective experience learning (CEL) paradigm, which lets robots share the successful experience of their peers rather than relying only on human demonstrations, and validated it on a cluster of 96 real robots. Two robots that did not participate in training were tested 600 times in total across five tasks—flower arranging, clothes folding, phone charging, stool assembly, and phone packaging—with 15 failures, for an overall success rate of 97.5%, all exceeding the average level of 6 human operators; the success rate on the phone packaging task rose from 79.2% to 98.3%.

  13. 智东西69

    Critical Point's dexterous hand completes 72-step industrial POC, 8.5 minutes per operation approaches human level

    At the Dexterous Manipulation sub-forum of AgiBot Innovation Day, Critical Point connected live to the Wolong Hill factory to present industrial POC results for a robotic arm plus dexterous hand. The system continuously completed a 72-step process including loading and unloading, barcode scanning, grasping a screw gun, tightening and removing screws, and pressing buttons. Phase-one task success rate reached 98%, with 8.5 minutes per operation, close to the roughly 8 minutes for a human, and it can run continuously for 8 to 12 hours.

  14. 36Kr Embodied Intelligence22

    AgiBot Establishes New Technology Company in Shaoxing with Registered Capital of 1 Million Yuan

    AgiBot Innovation (Shaoxing) Technology Co., Ltd. was recently established, with Deng Taihua as its legal representative and registered capital of 1 million yuan. Its business scope includes intelligent robot R&D, intelligent robot sales, and service consumer robot sales. The company is wholly owned by AgiBot Innovation (Shanghai) Technology Co., Ltd., an affiliate of AgiBot.

  15. 钛媒体60

    AgiBot Innovation Day proposes Worken effective intelligent work-hour metric and discloses Lingqu OS 1.0 open-source plan

    At its 2026 Innovation Day, AgiBot proposed the Worken (effective intelligent work-hour) metric, calculated as the number of active robots × autonomous working hours × output efficiency ratio, to measure the value robots actually create. AgiBot disclosed shipments of 9,700 units in the first half of the year, a global market share of over 43%, revenue approaching 2 billion yuan, and that its 20,000th robot rolled off the line in September.

  16. Reddit r/humanoidrobotics22

    Humanoid Robot Weekly (Oct 23–29): Digit Heads to Two New GXO Warehouses, AGIBOT Robot Self-Trains in a Real Convenience Store, Physical Intelligence in Talks for Roughly $20 Billion Valuation

    GXO announced on October 26 that Agility's Digit will handle e-commerce fulfillment at warehouses in Statesville, North Carolina, and Lebanon, Tennessee, starting in early 2027, beginning with Digit 4 before moving to Digit 5; at a Georgia site, Digit has already moved more than 100,000 totes.

  17. New Strategy Robotics68

    AgiBot releases safety-standard heavy-duty embodied robot Genie G2 Max, deployed at JD Logistics' Zhilang Warehouse

    AgiBot has officially released the safety-standard heavy-duty embodied robot Genie G2 Max, which has already been deployed in the inbound handling process at JD Logistics' Zhilang Warehouse. The robot has a single-arm payload of 20 kg and a dual-arm peak payload of 50 kg, arm repeat positioning accuracy of ≤±0.5 mm, and can depalletize 80 boxes and palletize 75 boxes per hour, with an overall operation success rate exceeding 99%. Zhilang Warehouse is a goods-to-person robot warehouse developed in-house by JD Logistics, and the G2 Max handles the tote placement task in its inbound process.

  18. 极客公园31

    Agibot releases embodied model GO-3 Preview: can make jianbing guozi, work at convenience stores, tops three leaderboards

    Agibot launches the embodied model GO-3 Preview, built on an embodied-native WRAM (World Reasoning Action Model) architecture that connects task reasoning, future prediction, and action generation, supporting full-pipeline scaled learning across pretraining, post-training, and post-deployment.

  20. 36Kr Embodied Intelligence20

    Agibot Releases Embodied Foundation Model GO-3 Preview and Genie Master Plan, Full Open Source by End of 2026

    At the 2026 Agibot Innovation Day, Agibot released its next-generation embodied foundation model GO-3 Preview and plans to fully open source the model and the embodied Agent framework Genie Master by the end of 2026. On the same day, Agibot also released Worken, the first "work-hour KPI," introducing KPI assessment standards for robots.

  21. The Humanoid Hub67

    AgiBot releases WITA-Omni 1.0 omni-modal interaction model

    AgiBot has released WITA-Omni 1.0, an omni-modal interaction model that supports full-duplex dialogue with simultaneous speaking and listening, runs on-device with an end-to-end interaction latency of about 400ms, and integrates vision, speech, real-time dialogue, facial expressions, and physical actions into one continuous system. It currently ranks highly on multiple interaction benchmarks.

  22. Robotics & Automation News75

    Agibot unveils AHA3 hardware platform, GO-3 Preview model, and G2 Max robot at 2026 Innovation Day

    At its October 29, 2026 Innovation Day in Shanghai, Agibot unveiled its third-generation humanoid hardware architecture AHA3, the embodied foundation model GO-3 Preview, the omni-modal interaction model WITA-Omni 1.0, the industrial robot G2 Max, and Link-U OS 1.0, and proposed the Worken framework for measuring robots' actual productive output.

Oct 29Thu
  1. 未来机器人网 · 微信公众号78

    Zhiyuan's Peng Zhihui: First-Half Revenue Near 2 Billion Yuan, 9,700 Humanoid Robots Shipped for Over 43% Global Share

    Peng Zhihui, co-founder, president, and CTO of Zhiyuan Robotics, disclosed at the 2026 Zhiyuan Innovation Day that in the first half of 2026 Zhiyuan shipped 9,700 humanoid robots, accounting for more than 43% of the global humanoid robot market, with revenue for the period approaching 2 billion yuan; as of September, cumulative output of general-purpose embodied robots surpassed 20,000 units.

    Why it matters: Zhiyuan disclosed first-half shipments of 9,700 units and revenue near 2 billion yuan, and introduced a new metric measuring commercialization by effective intelligent work hours, offering a way to track the pace at which humanoid robots move from demonstrations to delivery.

  2. 甲子光年 · 微信公众号74

    AgiBot Innovation Day proposes Worken metric, unveils AHA3 architecture and Lingqu OS 1.0

    At the October 29, 2026 AgiBot Innovation Day, AgiBot proposed for the first time the Worken (effective intelligent work hours) metric for measuring a robot's effective workload, and released its third-generation hardware architecture AHA3, the heavy-duty embodied robot Genie G2 Max, and the embodied intelligence operating system Lingqu OS 1.0.

  4. 36Kr Embodied Intelligence78

    AgiBot Releases GO-3 Preview, WITA-OMNI and AGILE, Connecting the Full Physical AI Chain

    At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model and the AGILE general motion intelligence algorithm framework, and also launched Lingqu OS 1.0 and the AHA3 third-generation hardware architecture.

    Why it matters: AgiBot released three types of models—task execution, interaction and motion—along with software and hardware architectures in one go, giving readers a clear view of its deployment approach across the full physical AI chain.

  6. 36氪 · 微信公众号75

    AgiBot releases GO-3 Preview, WITA-OMNI, AGILE, and Lingqu OS 1.0, connecting the full physical AI chain

    At its Innovation Day, AgiBot released the GO-3 Preview embodied foundation model, the WITA-OMNI native multimodal interaction model, the AGILE general motion intelligence algorithm framework, the third-generation hardware architecture AHA3, and Lingqu OS 1.0, covering the three intelligence lines of operation, interaction, and motion.

  7. 机器之心 · 微信公众号78

    AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment

    AgiBot has released the embodied model GO-3 Preview, focused on full-pipeline scaled learning across pretraining, post-training, and post-deployment, and it ranked first in three evaluations: RoboDojo, RoboTwin, and RoboColiseum.

    Why it matters: AgiBot disclosed GO-3 Preview's three-stage learning pipeline of pretraining, post-training, and post-deployment, along with specific benefit data from mixed training using real-machine clusters and world models.

  8. 新智元 · 微信公众号78

    AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end

    AgiBot officially released its GO-3 Preview embodied model on October 29, taking Top 1 on robotics leaderboards including RoboDojo, RoboTwin, and RoboColiseum, and expects to fully open source it by year-end.

    Why it matters: AgiBot links pretraining, post-training, and post-deployment learning into a single pipeline, which readers can use to compare differences in scaling approaches for embodied models.

  9. 人形大讲堂 · 微信公众号74

    China Releases First Batch of 6 National Standards for Humanoid Robots, Effective April 1, 2027

    The State Administration for Market Regulation has approved and released China's first batch of 6 national standards for humanoid robots, numbered from GB/T 48316 to GB/T 48317.5, covering general provisions, environmental perception, decision planning, motion control, task operation, and simulation testing platforms. They take effect on April 1, 2027.

  10. 雷科技75

    AgiBot releases embodied foundation model GO-3 Preview, tops three major leaderboards including RoboDojo

    On October 29, AgiBot released its next-generation embodied foundation model GO-3 Preview, which uses the WRAM (World Reasoning Action Model) architecture to connect task reasoning, future prediction, and action generation. It has ranked first on three major evaluation leaderboards: RoboDojo, RoboTwin, and RoboColiseum. AgiBot plans to fully open-source it by the end of 2026.

  11. Xbotics具身智能实验室 · 微信公众号38

    From working hours and human intervention rate to human efficiency ratio: How far are robots from becoming a productive force?

    RealMan Intelligent is advancing the real-world deployment of robots through three metrics: working hours, human intervention rate, and human efficiency ratio. Its integrated joint modules have passed CR L3-level reliability certification and achieve a mean time between failures of 50,000 hours, and nearly 100 robots are already providing continuous service in industrial and commercial scenarios.

  12. 钛媒体81

    Astra's Shockwave and the Embodied AI Industry's 50 Days

    In the 50 days since GPT-6 Astra was released, the embodied AI industry has conducted intensive evaluations and discussions around it, and general-purpose large models have begun directly taking over robot operation. Tests by SenseTime and several institutions concluded that Astra is basically capable of completing embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control, and response speed. The article also reviews industry uses such as using Astra directly for policies, reviewing VLA actions, building simulation environments, and data annotation, as well as chain reactions including cooling financing and major companies stepping up data collection.

    Why it matters: It reviews evaluation results, company reactions, and industrial chain changes in the embodied AI industry within 50 days of GPT-6 Astra's release, presenting the differentiated landscape after general-purpose large models entered robot operation.

  13. 亿欧网 · 微信公众号72

    Agibot discloses nearly 2 billion yuan in first-half revenue, cumulative humanoid robot output reaches 20,000 units

    At the 2026 Agibot Innovation Day launch event, Agibot disclosed that its revenue for the first half of 2026 was close to 2 billion yuan, and cumulative output of its general-purpose AI robots reached 20,000 units. The event also claimed that Agibot holds a 43% share of the global humanoid robot market. For comparison, Unitree Technology disclosed the previous day that its revenue for the first three quarters of 2026 was 1.817 billion yuan, up 55.71% year on year, with net profit attributable to shareholders of 387 million yuan, up 270.54% year on year.

  14. OFweek Robotics60

    After a Capital Surge and Deployment Milestones, AGIBOT's Real Test as an Embodied AI Chain Leader Is Just Beginning

    The article reviews AGIBOT's moves in recent months: it publicly introduced a nine-person core partner lineup, launched a Hong Kong IPO, and after completing a new funding round reached a valuation of 50 billion yuan. It also took a controlling stake in SWANCOR Advanced Materials for about 2.1 billion yuan, while spinning off subsidiaries including Mifeng, Critical Point, Qingtianzu, AGIBOT KuoTuo, Zhiding, and Yuansheng Wotu, which was established in October.

  15. AgiBot75

    AGIBOT Unveils Worken Metrics Framework, AHA3 Hardware Platform, and G2 Max Industrial Robot at 2026 Innovation Day

    At its 2026 Innovation Day, AGIBOT proposed the Worken (effective intelligent working hours) framework, which measures robots' effective output in real environments using three metrics: number of active robots, autonomous working hours, and output efficiency ratio.

    Why it matters: AGIBOT announced its hardware platform, foundation model, operating system, and mass-production model all at once, giving readers a basis to judge its shift from manufacturing scale to measurable output.