At a State Council Information Office press conference, it was announced that in the first half of this year China's complete humanoid robot products exceeded 400 models and output surpassed 40,000 units, with full-year output expected to top 100,000 units. MIIT said it is working on key technologies such as motion control, simulation, and tactile sensing, and promoting validation and deployment of products in more than 300 key scenarios including warehousing and logistics, food and retail, and home services. An IDC report shows that exploration of industrial and logistics applications is accelerating, while small humanoid robots for individual consumers have appeared in the Chinese market.
The layout drawing says the pallet is centered. The floor disagrees.
Our Pallet Mover targets the pallet that actually exists.
What is the messiest pickup scenario you have seen a robot handle?
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AgiBot has released the safety-certified heavy-duty embodied industrial robot Genie G2 Max, featuring a 20 kg single-arm payload and 40 kg dual-arm payload, with dual-arm peak payload up to 50 kg and repeat positioning accuracy of ≤±0.5 mm, targeting depalletizing and palletizing, material transfer, and production line feeding.
The original content is too short, containing only a source attribution and a joking comment, with no verifiable robot model, project, version, or technical information, so no summary meeting the requirements can be generated.
BlackBerry CEO John Giamatteo said in a CNBC interview that robotics has become the fastest-growing segment of the QNX software division, and QNX's patent royalty backlog has surpassed $1.2 billion, growing by more than $250 million in two quarters. Nvidia has adopted QNX as the preferred platform for its Halos safety stack; QNX is currently deployed in more than 275 million vehicles worldwide and is certified to ISO 26262 ASIL-D. BlackBerry shares rose 142% in 2026, and its market capitalization recovered to about $5.4 billion.
According to the Financial Times, Toyota plans to deploy 400,000 robots, backed by $6.4 billion a year in factory automation investment, with a dedicated robotics team coordinated by its chief production officer. Walden Robotics, spun off from TRI, has completed a $300 million seed round at a post-money valuation of $1.1 billion; its wheeled-base, dual-arm robot has been performing production work at Toyota's North American factories since February.
Roberson Robotics is completing an autonomous navigation stack that integrates multiple models to enable voice control, reasoning, planning, and environmental perception based on lidar and depth cameras on the robot itself, with no external channels open to prevent hacking. The developer is soliciting feedback on the website or the robot via www.robersonrobotics.com and hopes to use it to find a market position.
The next frontier of AI may not be where you expect.
On Bain & Company's Dry Powder podcast, Brookfield's Anuj Ranjan explained why some of the most compelling opportunities in AI lie in the physical economy.
Part 1: https://brkfld.co/2bypmt2x
Part 2: https://brkfld.co/24zgbguc
ROBOTECH 2026 Intelligent Robot Expo opened on October 27 at the Shenzhen World Exhibition & Convention Center (Bao'an), with 180,000 square meters of exhibition space. It focuses on three scenarios—industrial, commercial service, and special-purpose robots—and is expected to draw 170,000 professional visitors and more than 3,600 exhibitors.
Registration is now open for the 2026 Embodied Picking and Loading/Unloading Robotics Industry Forum. The forum focuses on the industrial deployment of embodied intelligence in picking and loading/unloading scenarios; concurrent content also covers mobile robotics industry topics such as wireless charging penetration below 2%, AGV/AMR tender wins in the first half of 2026, and nearly 100 new products.
According to statistics from the Mobile Robot Industry Alliance, as of October 26, 2026, 14 acquisitions or mergers had occurred in the mobile robot sector, covering key technologies, complete machines, software systems, and mature businesses. The article groups these deals into three categories: filling technology gaps, entering new use cases, and completing the warehouse operation chain, and argues that industry competition is shifting from individual product capabilities to key control points within complete systems.
In an interview with Jiazi Guangnian, Force Infinite chief scientist Chen Jiayu judged that general large models such as GPT-6 Astra will completely eat up the task planning (Planner) portion, so the team will no longer continue investing in some high-level memory mechanism research and will instead focus on execution capabilities in the physical world.
From October 21 to 25, the 2026 AI Creators Carnival (ACC 2026) took place at Haidian Park. About 100 "entrepreneurship trainees" brought their ideas and demos to find users, and 21 of the 50 exhibiting companies came from Haidian. Products such as Galbot's embodied robots and ZHI XING SHEN's visuotactile dexterous hands moved out of display cases for the public to try. The event featured five themed tribes—foundation models, AIGC, agents, AI ecosystem, and globalization—and linked with the Zhongguancun Exhibition Center and Zhongguancun Inno Way.
On October 23, an embodied data 'Iron Triangle' seminar, guided by Suzhou International Science Park (SISPARK) and hosted by the Lianjie Innovation Embodied Intelligence Center, was held in Suzhou. It focused on three topics — 'models and data,' 'scenario deployment,' and 'Infra infrastructure' — and was held in closed-door format to foster dialogue between technology suppliers and scenario demanders. The first roundtable discussed balancing the scale and quality of pre-training data as real-machine data demand shifts from the tens of thousands of hours level to the hundreds of thousands of hours level and ego data moves toward the tens of millions of hours level; the other two sessions reviewed secondary-development companies' scenario deployment practices and the computing foundation for data collection, training and deployment.
As of September this year, more than 20 domestic robot body companies have cumulatively invested in over 100 projects externally, and AgiBot has invested in and incubated 15 early-stage supply chain companies. Using the example of Zibianliang Robotics investing on the same day in joint module maker Juxie Intelligent and tactile sensor maker Moxian Technology, the article analyzes that body manufacturers taking stakes in upstream suppliers is aimed at securing supply of core components that are not yet standardized. The article divides such investments into two types: AgiBot-style deep incubation and Zibianliang-style lightweight industrial follow-on investment, and points out that dispersed capital, procurement bias, and insufficient investment research capabilities are the main risks.
On October 26, 2026, Robot Industry Application held a closed-door embodied AI data workshop in Suzhou Industrial Park, with more than 20 frontline decision-makers from models, data, real-world deployment, and chip infrastructure participating. Data vendors believe demand for embodied data is far from saturated, but model vendors argued that startups cannot scale data indefinitely; those on the deployment side emphasized cost reduction, efficiency gains, and the logic of calculating returns, and discussed mass production and standardization of tactile electronic skin.
Qingyan Precision officially launched its automotive-grade Tsing-Ego PRO first-person data collection solution during SAECCE 2026, with pre-orders opening at the same time. The solution integrates synchronized multi-view capture, automotive-grade reliability, lightweight wearability, and on-device quality inspection, serving as the data collection tool for its first-of-its-kind RIL (robot-in-the-loop) pilot testing system to provide high-quality data for robot training, validation, and on-site applications. The industrial-grade Tsing-Glove imperceptible data collection glove will launch soon, and the first batch of partner customers can enjoy priority pilot testing, scenario workstation adaptation, and order matching benefits.
The WISE2026 Business King Conference will be held November 26–28 at the Tongming Lake Convention and Exhibition Center in Yizhuang, Beijing. Its industry matchmaking segment, "World Café," is now recruiting technology providers in AI applications and embodied intelligence to rotate table-to-table with vetted, real-scenario demand-side participants. The two previous matchmaking sessions drew more than 190 highly interested companies and 153 formal applications, completing over 100 matchmaking rounds. Registration is free, but procurement, pilots, or deals are not guaranteed.
MoSense, a company providing whole-body multimodal fusion tactile solutions, recently completed a hundred-million-yuan Angel+ funding round, led by CDH Investments and Oasis Capital, with participation from LimX Dynamics, Loongson Venture Capital, CAS Star, Huashan Capital, Pudong Venture Capital, and a leading domestic embodied AI manufacturer.
USV announced that it co-led Machenta's $40 million seed round with Creandum, as the company also emerged from stealth. Machenta says its robotics foundation model is trained entirely in simulation, with no real-world data, and can learn a task from a single demonstration without additional training, adapting when the environment changes.
Why it matters: USV, as co-lead investor, explains why Machenta's one-demonstration learning is worth betting on, giving readers insight into the technical claims behind the funding.
At the 2026 China Marine Economy Expo, Sightbit Robotics showcased a dual-robot collaborative welding workstation for shipbuilding, a humanoid welding robot prototype, an intelligent residual-material scanning system, a steel plate pitting 3D inspection system, and the Kunwu industrial simulation platform. The SpeedWeld intelligent welding control system supports reverse modeling with 3D structured-light cameras to generate welding trajectories, and can reduce changeover and commissioning cycles by up to 90%. The latest SpeedWeld 2.9 version supports dual-robot collaborative, asynchronous welding, and independent welding modes.
Manycore Tech, Meshy, and Hyper3D discussed why Chinese AI 3D companies are leading at the ACC 2026 AI Creator Carnival. Manycore has launched the spatial generation model SpatialGen and is exploring the 3D generation model Aholo Lux3D, whose materials support up to nine channels; Hyper3D launched Agentic Mode, moving from Production Ready toward Agent Ready. The three companies believe that domestic high-quality 3D data, the production pipeline ecosystem, and talent accumulation are the main advantages.
Harbin Institute of Technology (Shenzhen), the National University of Singapore, and other institutions propose SkeLAM, built on Cosmos-Predict2.5-2B and trained on about 10 hours of robot interaction data, using robot skeletons to supervise latent actions in video.
Researchers from UIUC, Google, Stanford, UC Berkeley and CMU jointly published the review "Proactive AI for Superintelligent Agents," systematically mapping the research landscape of proactive AI and proposing a 6A framework composed of six capabilities: Awareness, Anticipation, Agenda, Arbitration, Action and Adaptation.
Ropedia released six studies at the first Ropedia Super Week, held October 19 to 23, centered on how first-person human video can be turned into training and execution information usable by robots.
Why it matters: The six studies collectively address how first-person human data can be converted into training and execution information usable by robots, and present cross-embodiment and real-robot comparison results.
At TechCrunch Disrupt, SOSV discussed Physical AI, emphasizing that its scope is far broader than robots, spanning areas such as materials discovery, programmable biology, and specialized chips. An SOSV partner noted that unlike IoT, which transmits data one way, Physical AI creates a two-way data pathway that enables closed-loop control of complex systems. SOSV has invested in the physical world for 12 years, backing about 60 new companies each year, and has roughly 85,000 square feet of laboratory space to support startups as they grow.
FastHarness is an experience-driven robot execution framework that uses π0.5 to generate actions and GPT-6 Astra to review and correct them, adjusting the review interval according to task stage and past review results. Across four simulated manipulation tasks in RoboDojo, it achieved an average success rate of 97.19%, higher than the 80% reported for π0.5 + GPT-6 Astra in the GPT-as-Policy report.
The Institute for AI Industry Research (AIR) at Tsinghua University, together with Tsinghua's Department of Electronic Engineering and the University of Science and Technology of China, has proposed OxyGen, which uses unified KV Cache management to let an embodied model's action and language reasoning share prefix computation. The paper has been accepted to NeurIPS 2026.
Why it matters: The paper presents a unified KV Cache management scheme and measured data across multiple platforms, offering a reference for on-device embodied inference deployment.
CVer has established an [Embodied AI] technical WeChat group that has surpassed 1,600 members and added a [Job Search/Campus Recruitment/Internship] section. The group pushes cutting-edge embodied AI technologies daily and also runs VLA and WAM WeChat groups. Joining the accompanying Knowledge Planet provides learning roadmaps, company lists, university lab/faculty lists, recruitment information, and industry reports.
Hai Robotics has submitted a prospectus for a Hong Kong IPO. From 2023 to 2025, revenue posted a compound annual growth rate of 58.09%, and in 2025 the company's global ACR market share exceeded 30% by revenue and by shipment volume. As of the end of June 2026, cumulative losses since the company's founding totaled 5.226 billion yuan, with losses of 3.523 billion yuan over the three and a half years of the reporting period; period expenses fell from 114.7% to 62.3% of revenue. Over the same period, redeemable liabilities rose to 5.254 billion yuan; if the IPO does not proceed smoothly, equity redemption obligations could trigger liquidity pressure.
DoorDash is reportedly in talks to acquire Instacart for about $17 billion. If completed, the deal would combine restaurant, grocery, and convenience-store delivery into a larger order network, potentially increasing order volume for autonomous delivery robots. The main challenge for delivery robots is utilization: completing only a small number of deliveries per day makes it hard to cover equipment, maintenance, and operating costs. Grocery and convenience-store orders could help raise utilization outside restaurant delivery peaks.
Embotech and BMW announced that they have completed the movement of 1 million vehicles using autonomous driving technology at four plants in the UK and Germany, averaging about 3,500 moves per day with availability exceeding 99.5%. Their Automated Driving In-Plant solution places perception, including Hesai lidar, on the production line infrastructure side, so vehicles need no additional sensors, and it is paired with a deterministic safety architecture independently certified by TÜV SÜD.
RoboParty has released the full-stack open-source humanoid robot RP1, opening the entire chain to developers, from mechanical drawings and electrical systems to its self-developed ROMOMO joints, low-level control, simulation training, and deployment. RP1 is 135 cm tall, with 24 active degrees of freedom in the open-source version and 30 in the Pro version; peak torque ranges from 25 to 160 N·m. It uses 48V power and CAN-FD communication, and its accompanying software provides a 500 Hz control frequency and a 50 Hz policy update frequency.
After opening its offering on October 20, Micro Intelligence Manufacturing announced it will postpone its global offering and Main Board listing on the Hong Kong Stock Exchange, with application monies to be refunded in full; Zhongjian Technology has decided to terminate its issuance of H shares and Main Board listing on the Hong Kong Stock Exchange. Micro Intelligence Manufacturing's offering range was HK$16.63–21.46, with 37,275,800 H shares planned and a fundraising cap of about HK$800 million; Zhongjian Technology's revenue in the first half of 2026 was 701 million yuan, up 39.50% year on year, with a net loss attributable to shareholders of 7.6147 million yuan.
The Zhongguancun Rongzhi Special Robot Industry Alliance has issued an invitation to attend the 2026 Beijing Youth Science and Technology Salon, and the event is now in its countdown phase. The original text did not disclose the salon's specific agenda, participating guests, or robot-related topics.
On October 26, Zhongke Huiling (CASBOT) announced the completion of an A++ funding round worth hundreds of millions of yuan, jointly funded by six institutions: Zhilai Investment, Yonghua Investment, Maotian Investment, Yuanhe Chenkun, Guoke Kezhi, and Luning Investment. Founder Zhang Zhengtao plans to allocate 60% of the funds to embodied brain R&D and 30% to product mass-production and delivery.
Why it matters: Beyond the funding, the article provides measured cycle times and payback periods for shoe-making workstations as well as progress on the mine demonstration, which can be used to assess the economic model of vertical embodied-intelligence deployment.
MoSense Technology announced on October 26 the completion of a 100-million-yuan angel funding round, led by CDH Investments and Oasis Capital, with participation from LimX Dynamics, Loongson Venture Capital, CAS Star, Huashan Capital, Pudong Venture Capital, and a leading domestic embodied AI manufacturer, following earlier investments from Sequoia China, Gaorong Ventures, and AgiBot.
Xpanner has launched the X1 Piling R6 fully autonomous pile-driving robot, designed to install posts autonomously at utility-scale solar and battery storage sites under the supervision of a single operator. The system is built on the Everstar R6 tracked chassis and uses high-precision GNSS and onboard sensors to navigate autonomously to pile locations. It can drive piles up to 23 feet (7.0 meters) long to a maximum driving depth of 15.7 feet (4.8 meters), and is equipped with a 97 kW engine and a hydraulic hammer with up to 1,260 J of impact energy.
Researchers from Southern University of Science and Technology and other institutions published NI-skins artificial skin in Nature Machine Intelligence; it reads more than 10,000 sensing elements per second and processes signals hierarchically, taking about 23 milliseconds from sensing to interpretation.
A Tsinghua University research team proposes SimpleTouch, which adds a tactile expert to the pretrained VLA π0.5 and uses single-stage training with only 50 demonstrations per task, without additional tactile policy pretraining or a separate alignment stage.