Cao Peng, Chairman of JD.com's Technology Committee, said at the Robotics and Embodied Intelligence Forum of the 2026 World Internet Conference Wuzhen Summit that JD Logistics plans to procure 3 million robots, 1 million unmanned vehicles, and 100,000 drones over the next five years.
AGIBOT has proposed a robot workload measurement framework called Worken, which calculates "effective intelligent working hours" as "number of active robots × autonomous working duration × output efficiency ratio," linking the effective work robots actually complete with autonomous operating time and output quality.
On November 9, Unitree Robotics shares rose more than 15% intraday, with market capitalization briefly topping 300 billion yuan, before closing up 9.04% at 716 yuan. An Apple research team used a modified Unitree G1 to validate the HALO paper, completing 360 single-task tests across six real-world environments without prior mapping, with an average success rate of 91%. Unitree and Kunlun Manufacturing plan to establish a new joint venture to conduct industrial embodied intelligent robot solution business; as of the time of verification, the plan was still in its public notice period.
The IPO channel for the humanoid robotics industry is rapidly narrowing: the A-share and Hong Kong listing windows are essentially closed, and the backdoor listing route is also difficult to pursue. After Zhiyuan Robotics acquired control of Shangwei New Materials, Shangwei New Materials announced in October 2025 that Zhiyuan has no backdoor listing plan within the next 3 years. The closure of exit channels has sharply increased financing difficulty; over the past two months, quoted prices for secondary sales of old shares in the embodied intelligence sector have generally been only 65% to 80% of the previous round's valuation. In the first half of 2026, China's embodied intelligence-themed investment and financing reached 172 deals totaling 109.174 billion yuan, but financing activity fell rapidly after September.
By 2026, daily rental for humanoid robots has fallen to the thousand-yuan range, down more than 70% from early 2025; daily rental for robot dogs has dropped below 500 yuan, and more than 90% of rental stalls in Huaqiangbei have withdrawn. The article argues that the root cause of falling rents is not only increased supply, but also that rental and sales share the same demand pool, dominated by entertainment performances and educational displays, with low repurchase rates. Manufacturer-controlled rental platforms absorb production capacity and inventory through subsidies, but the buffer layer is limited, and the industry is being forced to push robots into scenarios with sustained repurchases, such as industrial manufacturing and warehousing logistics.
AgiBot launched a 24-hour convenience store work challenge in which 6 Genie G2 robots took on roles including reception, pickup and delivery, drink preparation, inspection and restocking, and cleaning, completing 1,730 tasks in total; in the end, 4 passed probation and 2 did not. The robots run on the embodied Agent framework Genie Master, which uses Physical RSI to turn success and failure experience from execution into long-term memory and iteratively refine action strategies; capabilities such as judgment for restocking and cleaning come from this prior self-review.
Six AGIBOT G2 wheeled humanoid robots completed a 24-hour trial at an operating convenience store in Xuhui District, Shanghai, performing a total of 1,730 tasks, with four of them passing the final assessment.
Why it matters: AGIBOT disclosed the task distribution and assessment results of six G2 robots over 24 hours in a real convenience store, offering a view of how embodied intelligence performs in continuous operation.
In 2026, financing in the primary market for embodied AI tightened and the IPO channel became congested, with valuation logic returning from grand narratives to business common sense. According to IT Juzi data, from the start of the year to October 20, domestic financing in this sector exceeded 600 deals with a total amount surpassing 160 billion yuan, and companies valued at over 10 billion yuan have reached 32, but in the past two months old-share transfer quotes were only 65% to 80% of the previous round's valuation. Industry consensus has shifted to delivery ledgers, cash collected, and the number of scenarios implemented, and whether 10,000-unit-level stable delivery can be achieved has become the new proof for a 10 billion valuation.
In Q3 2026, Unitree's revenue was 665 million yuan, up 69.93% year on year, while non-recurring net profit was 105 million yuan, down 17.42% year on year. R&D spending was 127 million yuan, up 249.58% year on year, showing revenue growth without profit growth.
AgiBot launched a convenience store livestream challenge on November 2, with 6 Genie G2 robots on duty continuously for 24 hours. When it ended on November 3, 4 had successfully passed probation and 2 had not yet passed. During the assessment period, the robots completed 1,730 tasks/items in total, including receiving 683 customers, picking up and delivering goods for 369 orders, making 147 cups of coffee, producing 126 servings of hot food, carrying out 277 inspection and restocking rounds, and clearing tables 128 times.
The article compares Unitree and AgiBot's divergent approaches to embodied intelligence: Unitree integrates GPT-6 Astra into the G1 as an "external brain," with Wang Xingxing judging that general models will be able to handle planning after another one or two generations; AgiBot only lets Astra serve as System2, while System1 and the 100 to 1000Hz force-control closed loop are developed in-house, and GO-3 Preview tops three leaderboards: RoboDojo, RoboTwin, and RoboCosieum.
AGIBOT has released GO-3 Preview, an embodied foundation model built on its self-developed WRAM (World Reasoning Action Model) architecture that unifies task understanding, future state prediction, and action generation. It ranks first on three embodied AI benchmarks: RoboDojo, RoboTwin, and RoboColiseum, and is planned for full open source release by the end of 2026.
Why it matters: AGIBOT has disclosed the architecture and three-stage training design of GO-3 Preview, which can be compared against its technical roadmap evolution from GO-1 to GO-3.
At the Wuzhen Summit, Unitree Technology founder Wang Xingxing proposed that 2027 is likely to become a tipping point for the robotics industry, defined as robots completing 80% of tasks via voice commands in 80% of unfamiliar scenarios. Unitree's 2025 revenue was 1.699 billion yuan, with 5,215 humanoid robots shipped, but in the first half of 2026 its non-recurring net profit fell 19.34% year on year; of the 4.2 billion yuan raised, 2.022 billion yuan is directed to intelligent robot model R&D.
At 2026 AgiBot Innovation Day, AgiBot presented its "embodied intelligence + AI" full-stack robotics platform. The company has three robot series—Yuanzheng, Lingxi, and Genie—covering a wide range of commercial scenarios. AgiBot was founded in February 2023, and its founding team includes core executives from global tech giants and top AI scientists. As one of the first companies globally to achieve large-scale mass production and commercial deployment of embodied robots, its products have entered markets in multiple countries and regions.
Leikeji observed that companies providing collection, annotation, and training services for humanoid robot training data are emerging, with approaches including centralized training grounds, crowdsourced collection, and full-chain services. The report notes that bringing a single robot skill to a deliverable level may require 2,000 to 5,000 hours of training data. Mifeng Technology, under AgiBot, launched crowdsourced collection in September and had reached 40 cities by October, with participants earning 10 to 30 yuan per hour.
On November 2, six AgiBot Genie G2 humanoid robots worked 24 consecutive hours at a normally operating convenience store in Xuhui, Shanghai, covering roles including greeting customers, making coffee, stocking shelves, cashiering and cleaning, with the entire shift livestreamed. The six robots shared task scheduling through AgiBot's embodied Agent framework Genie Master and reported execution results back via the embodied execution protocol EEP, collecting failure cases into an error log and converting them into training data.
Starting at 10:00 on November 2, six AgiBot Genie G2 humanoid robots worked 24 consecutive hours at a normally operating convenience store in Xuhui, Shanghai. They were assessed against store standards including on-duty time, task success rate, and response time. In the end, 4 passed probation, while Lengjie and Juanwang did not yet pass probation due to shortcomings in on-duty initiative and job stability.
Starting November 2, six Genie G2 robots equipped with AgiBot's Genie Master embodied Agent framework worked continuous 24-hour shifts in a real convenience store. In the end, four passed the probation assessment, completing a cumulative 1,730 tasks, including greeting customers 683 times, fetching and delivering 369 items, and making coffee 147 times.
The Xbotics Embodied Intelligence Lab built a closed-loop simulation pipeline using the AgiBot GE-Sim 2.0 world model and the OpenPI π0.5 policy. In testing, the world model generated about 4.33 frames per second, the pure-policy closed loop ran at about 3.20 frames per second, and after adding MiMo online scoring, the rate dropped to about 0.88 frames per second.
Why it matters: The author uses a four-stage test to break down the frame-rate bottlenecks and causes of reward hacking in world-model closed-loop simulation, which can be transferred to the design of VLA evaluation workflows.
An analysis by Cninfo WAVE argues that robots have yet to enter factories and homes at scale, instead surging first into commercial performances, exhibitions, elderly companionship, and other scenarios, spawning a secondary-development and rental ecosystem. Daily rental for humanoid robots has fallen from a peak of 30,000 yuan a year ago to under 2,000 yuan for basic models, while QingTianZu has reached a valuation of 7 billion yuan; yet a robot 6S store in Guiyang still shows a 40% gap between monthly revenue and costs. The author judges this to be a transitional commercialization stage between demo and commercial deployment, with rental vacancy rates and store operating costs as the main risks.
Lens Technology's investor relations record disclosed on November 1 shows that its Kunshan base humanoid robot production line has achieved a daily output of 100 units, with plans to reserve capacity of more than 10,000 units per month each for its customer's Q series and T series. The company said its cooperation model will extend from OEM whole-machine manufacturing to ODM collaborative design and manufacturing, and that it has participated in the development and testing of joint modules, DCU controllers, and OmniPicker grippers for AgiBot's Lingxi X1. In the first three quarters of 2026, Lens Technology's revenue fell 10.74% and net profit fell 50.06%, with new businesses such as robotics accounting for less than 10%.
Lens Technology disclosed institutional research information on November 1: its Kunshan robotics base has achieved a daily output of 100 units and plans to provide production capacity guarantees of more than 10,000 units per month for the customer's Q-series and T-series products respectively next month. The company's net profit attributable to shareholders for the first three quarters of 2026 was 1.420 billion yuan, down 50.06% year-on-year, including exchange losses of 654 million yuan. Lens Technology is collaborating with Shangwei Qiyuan to transition from OEM to ODM and vertical supply chain integration, and has cooperated with AgiBot in developing core components such as dexterous hand modules and key joint modules.
AgiBot has released its embodied Agent framework Genie Master. A Genie G2 running the framework, when deployed in a real convenience store, does not rely on human demonstrations or debugging; it can identify the causes of failures on its own, adjust strategies, and accumulate experience, improving continuously on tasks such as packaged-food packing, picking, and restocking. AgiBot says this is the industry's first validation of Physical RSI (embodied recursive self-improvement) outside simulation in a real business scenario, and it plans to arrange 6 Genie G2 units on November 2 for a continuous 24-hour livestreamed convenience-store operation test.
Orbbec's 2026 Q3 report shows robot vision solution revenue reached more than double the year-earlier level, cumulative robot customers exceeded 1,000, and the delivery cycle was compressed from about 40 days to 20 days. First-three-quarter revenue was 711 million yuan, down 0.43% year on year; net profit attributable to shareholders was 73.8615 million yuan, down 31.62% year on year; gross margin rose from 42.8% to 49.09%; and R&D investment was 175 million yuan, up 19.20% year on year.
At its 2026 Innovation Day, AgiBot's Peng Zhihui proposed the robot energy-efficiency unit Worken, defined as the number of active robots × autonomous working hours × output efficiency ratio, to measure how much work robots actually do. At the Longqi factory, 8 robots worked a cumulative 528 hours with an output efficiency ratio of 0.7, for a total of 2,956.8 Worken; at Guangzhou Metro, 120 robots worked 240 hours with an efficiency ratio of about 0.5, for a total of 14,400 Worken.
On November 2, six AgiBot Genie G2 humanoid robots entered an operating convenience store in Xuhui, Shanghai, working 24 consecutive hours in roles including greeter, barista, stocker, and cleaner, under online supervision from viewers across the internet. The robots relied on real-time visual inventory checks to return items to their places on disorganized shelves, stopping before people and then going around them, and routing around boxes. Through Genie Master and the embodied execution protocol EEP, they stored successful and failed task trajectories in long-term memory to feed back into motion strategy optimization.
In October, the Xbotics Embodied Intelligence Community held three offline events: at the Shenzhen session, 48 developers used the OmniHand O10 dexterous hand to complete calibration and a crawling competition; at the Shanghai session, 38 developers completed the transition from MotrixLab simulation training to real-machine deployment of the Qinglong Nano within two days; and at the Hangzhou session, 22 people learned to replicate the MiniDuck little yellow duck.
Brain-computer interface company Junrou Technology has completed a series of angel round financings: the angel round was led by Jiuhe Venture Capital, and the angel+ round was invested in by Shunwei Capital, Hillhouse Venture Capital, Agibot, and others, with the three rounds completed within one year of the company's founding totaling 100 million yuan. The company's core technology is a neural worm dynamic electrode originating from Liu Zhiyuan's team at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; a planar electrode array is rolled into a fiber electrode about 196 micrometers in diameter, which crawls toward multiple brain regions under magnetic field guidance through a small hole of about 1 centimeter in the skull. The first-generation brain-computer interface system has completed some animal experiments, and an IIT is expected to launch in 2027.
At its A.I.DAY event on October 29, Agibot proposed Worken (effective intelligent work hours) as a unit of measurement. The formula is the number of active robots × autonomous working duration × output efficiency ratio. It counts only robots that are online, able to execute tasks, and meet standards; it excludes teleoperation and charging/battery-swap periods from continuous autonomous working time; and it uses the qualified output of a standard worker per unit time as one equivalent.
At the 2026 AgiBot Innovation Day on October 29 at the Shanghai World Expo Center, Peng Zhihui released the third-generation hardware architecture AHA3, the foundation model GO-3 Preview, the multimodal interaction model WITA-OMNI and Lingqu OS 1.0, and proposed Worken, a new unit for measuring robot value (number of active robots multiplied by autonomous working hours multiplied by the output efficiency ratio).
Primary-market investors are collectively pausing embodied AI projects. IT Juzi data shows 33 financing deals worth 10.105 billion yuan in October 2026, down more than two-thirds from the June peak of 55 deals and 30.892 billion yuan. Secondary-share transfer quotes generally range from 65% to 80% of the previous round's valuation, and 8 of the 13 robotics-related companies that listed in Hong Kong in 2026 broke issue price. The article argues that capital is not exiting the direction of physical-world intelligence, but rather the valuations and delivery pace that demo capabilities cannot support.
Tsinghua and Zhiyuan's 96 robots have begun teaching each other. The original text did not disclose the robot model, training tasks, experimental conditions, or specific results; it only stated that 96 robots participated.
Embodied AI companies are investing heavily in the robotics supply chain as industrial capital. Unitree Robotics and Sequoia China established the "Shanyu Innovation Program," and Zhiyuan Robotics appeared in 47 investment and financing events from August 2024 to October 2026, most of them directed upstream of its own complete machines. The article argues that three overlapping uncertainties—unconverged technology routes, an unformed supply chain, and unvalidated scenarios—are leading top companies to use capital to lock in supply chains, technology options, and industry positions in advance, as the industry moves from free competition toward an oligopoly rehearsal.
Xinhua News Agency's China Economic Information Service and the Shanghai Industrial Innovation Center of the China Academy of Information and Communications Technology jointly released the "2026 Embodied Intelligence Industry Innovation Report," which proposes that in 2026 embodied intelligence will move from development demos to routine operation in real-world scenarios, entering a deployment growth phase. The report documents that 8 AgiBot Genie G2 units accumulated more than 64 hours of operation over 6 days of testing at Longcheer Technology's Nanchang factory, completing 64,828 tasks with a comprehensive task success rate of 99.99%, and notes that task intelligence remains slightly below L3, with bottlenecks including non-interoperable data standards, a lack of calibration for data credibility, and ownership allocation still to be improved.
The DeepSeek Harness team has open-sourced the Super-agent research prototype dsh-superagent-prototype, which uses a two-layer Router plus Worker architecture: the Router takes orders and assigns work, while Workers each maintain their own session and working directory to execute tasks. Currently, it operates on a single GitHub repository as its working target.
Unitree Technology's Q3 2026 report shows revenue of 1.817 billion yuan for the first three quarters, up 55.71% year on year, and net profit attributable to shareholders of 387 million yuan, up 270.54% year on year; it is the company's first financial report since going public. In the same period, AgiBot released the Genie G2 Max, a safety-certified heavy-load embodied industrial robot, with a 20 kg payload per arm, 40 kg with both arms, and a 50 kg peak, aimed at depalletizing and palletizing, material transfer, and production-line feeding. Tsinghua University, Infinigence AI, and AgiBot jointly proposed a new paradigm called Collective Experience Learning (CEL) and completed large-scale validation on a cluster of 96 real robots.
DeepSeek completed an RMB 105.5 billion Series A+ funding round at a post-money valuation of RMB 615.5 billion, with CATL and Tencent as the largest investors in the round, and has completed its overseas registration procedures. AgiBot reported nearly RMB 2 billion in revenue and about 9,700 units shipped in the first half of 2026, ranking first in the industry with a 43.1% share; by the end of September, its cumulative humanoid robot output had surpassed 20,000 units.
Agility Robotics will list on Nasdaq on November 5 via SPAC under the ticker AGLT, with a pre-money valuation of $2.5 billion and confirmed 2025 revenue of only $1.782 million, about 63.5% of which comes from related parties.
Why it matters: Using Agility's listing filing data as a sample, it breaks down humanoid robot unit economics and RaaS contract structures, and provides transferable metric definitions.
Unitree Technology founder Wang Xingxing has appeared on the 2026 Hurun Rich List for the first time with a fortune of 69.5 billion yuan, ranking 78th. Unitree disclosed its first financial report after going public on the evening of October 28: revenue for the first three quarters was 1.817 billion yuan, up 55.71% year on year, and net profit attributable to shareholders was 387 million yuan, up 270.54% year on year. In the third quarter, however, revenue was 665 million yuan, up 69.93% year on year, while net profit attributable to shareholders was 113 million yuan, down 17.37% year on year; R&D investment was 127 million yuan, up 249.58% year on year.
SenseTime's Astra reaches 100% on LIBERO-Long++ and 81.9% on RoboDojo; the stronger the general-purpose brain, the more easily a robot body that conforms to standard interfaces can be swapped out as a "peripheral." Using Unitree's real-machine data flywheel, Zhiyuan's 3/4 R&D investment in the large and small brains, and Galaxy General's AstraBrain-WBC 0.5 trained on 2 billion frames of motion-capture data (92.58% zero-shot motion-tracking success rate, 0.39 ms inference latency) as examples, the article proposes three criteria: depth of in-house development at the execution layer, data return rate, and scenario replacement cost.