The Diffusion PR team spent four days at the Automate 2026 trade show in Chicago, where they saw robot baristas making coffee on site. Physical AI was the buzzword of this year's show, and Alexandre Boffi of Kawasaki Robotics explained it as the mechanical embodiment of artificial intelligence in the physical world.
Dexmate argues in a post that the deployment ceiling for industrial Physical AI is set by hardware rather than models, using its own Vega 1 Pro as an example.
Enchanted Tools presents the application positioning of its humanoid robot Mirokaï for real commercial environments, with target scenarios covering healthcare, senior living, retail, museums, hospitality, and public spaces. Mirokaï is designed to take on repetitive reception tasks such as greeting visitors, answering questions, and guiding people through buildings, so that staff can devote their time to interactions that require a human presence. This is promotional product content; the original text discloses no technical specifications or verified deployment results.
StridingAI introduces its Physical AI vision in animated form, in which multimodal intelligence drives real-world robotic action. The company aims to connect processes from inventory management to customer service, improving efficiency in retail, hospitality, industrial, and everyday environments.
The chapter "Trends in Open-Source Commercialization" from the China Open-Source Development Deep Report (2025), written by the Yunqi team, has been officially released. It notes that global open-source commercialization is moving from a service-oriented model into an intelligence- and ecosystem-oriented one. In 2025, global commercial open-source software companies raised about 6 billion USD, of which open-source AI accounted for about 3.8 billion USD and China about 1.1 billion USD. The report adds dedicated observations on the commercialization of open-source AI hardware and embodied intelligence, noting that open-source robotics commercialization unfolds along three main lines: hardware sales, operations and maintenance services, and scenario-based solutions.
Invasive brain-computer interfaces are moving from technology demonstrations toward early validation of commercial pathways, with a triple inflection point in regulation, clinical use, and AI decoding arriving together in 2026. China's first invasive brain-computer interface product has been approved and granted a national medical insurance billing code; US companies including Neuralink, Synchron, Paradromics, and Precision are entering multi-path clinical trial stages along different routes such as microneedles, intravascular approaches, electrode arrays, and intraoperative methods. The combination of large language models and neural decoding algorithms is pushing the valuation ceiling of brain-computer interfaces from motor control toward language and more complex human-computer interaction.
Chen Yu, managing partner of Yunqi Partners, explains his views on judging long-term opportunities amid technological paradigm shifts in a video interview with PEdaily, with Yunqi Insights excerpting the core points. Yunqi began focusing on robotics and autonomous driving as early as 2016 and invested in MiniMax's angel round in 2021, favoring the approach of a foundation model solving multiple types of tasks. He believes large models enable a team of about 10 people to build products that previously required 100 people, and that the moat for AI applications lies in scenario understanding, data barriers, and multi-model collaboration.
In an interview, Boston Dynamics mechanical design engineer Chastity Kelly explains the foot design of the Atlas humanoid robot. The new-generation foot has a symmetric structure, with the ankle joint located at the middle of the foot; combined with knees that can bend backward, this allows Atlas to walk forward and backward without turning around. The sole has multi-directional treads to provide two-way grip and prevent slipping on factory floors. She also shares her own journey: starting at a community college, she spent 15 years earning a PhD in mechanical engineering and entering the robotics industry.
The Yingzhi Technology XBOT coffee robot system can operate continuously 24 hours a day without on-site staff, producing hundreds of cups per day while maintaining consistent output standards. AI custom latte art supports printing selfies, logos, and more onto drinks, creating social exposure through customers' spontaneous sharing. Operators can remotely monitor revenue, order volume, and equipment performance through a centralized dashboard, turning the store model into scalable retail infrastructure.
Sanctuary AI CEO James Wells took part in a panel discussion and gave an interview at Web Summit Vancouver, arguing that Canada must adopt and invest in Physical AI and robotics early or its economic sovereignty could be held by others. He introduced the concept of "labor sovereignty," warning that if foreign robots take on work in Canada's key industries, control over labor productivity will flow abroad, and he called on the federal government to support domestic innovation, commercialization, and large-scale deployment on top of the six pillars of the national AI strategy.
RoboScience founder and CEO Tian Ye judges that the "GPT moment" for embodied intelligence will arrive within 5 years, marked by robots reaching the hands-on ability of a five- or six-year-old child and ordinary users being able to get started within 5 minutes.
Based on a review of nearly 10 months of real customer deployments, Dyna Robotics believes the timeline for converting robotics capabilities into commercial value is longer than current funding assumptions suggest, and that much of the market is a bubble. The article presents three judgments: hardware is not the same as a channel, pretraining data scale is not the same as downstream capability, and building deployment systems is underestimated. It says Dyna-1, released in April 2025, ran autonomously for more than 24 hours on tasks such as napkin folding with a success rate above 99%, but deployments did not self-accelerate, and no one in the industry has yet validated at scale that a second deployment is faster than the first.
Why it matters: Based on the author's review of nearly ten months of real deployments, the piece points out differences between the pace of robotics commercialization and the LLM curve, offering a useful reference for judging an industry bubble.
More U.S. self-service retail kiosk operators are turning to automation as a solution to rising labor costs and the challenge of maintaining consistency across multiple locations, with their evaluation focus shifting from technological novelty to long-term profitability. Yingzhi Technology's XBOT positions its automated coffee equipment as part of a scalable retail operating model rather than as a standalone robotic device, aiming to reduce labor dependence, stabilize beverage quality, and extend operating hours within a smaller footprint. When assessing such systems, operators focus on variables such as labor-reduction potential, throughput capacity, and payback period.
In an article, XBOT (Yingzhi Technology) argues that rising labor costs, inconsistent execution, and the difficulty of expanding across multiple stores are leading operators to evaluate automated coffee systems as retail infrastructure rather than coffee equipment. Their value lies in more repeatable service processes during peak hours, a smaller operational footprint, longer opening hours, and lower reliance on labor, making them suitable for high-traffic settings such as airports, office buildings, transit hubs, hospitals, and universities. Such systems are also connecting to data on ordering behavior, inventory management, and throughput analysis, becoming part of a more integrated retail operating model.
Linear Capital's "Between the Lines" Season 2 features a conversation with Tashi Zhiheng founder and CEO Chen Yilun, presenting for the first time a full picture of his entrepreneurial journey and career choices. Tashi Zhiheng set the record for China's largest angel round in embodied intelligence at $242 million, with Linear Capital backing it for three consecutive rounds; the company is going straight after industrial wiring harnesses, a field where 1 million industrial workers are currently employed in China. Chen Yilun recounts his path from physics competitions to Eaton, DJI, and Huawei's intelligent driving.
Linear Capital shared an interview with Bot Auto founder Hou Xiaodi on Zhijian autoweek, in which he said that on April 30, the day before Musk announced the production version of the SemiTruck had rolled off the line, Bot Auto completed the first fully driverless autonomous truck commercial order in the United States, with no safety driver and no real-time remote human backup.
Why it matters: The interview systematically lays out a commercialization judgment framework centered on CPM, which can be used to understand the differences between L4 companies and L2+ companies on metrics and issues.
Elephant Robotics addresses the multi-vendor integration challenges faced by robotics labs at Latin American universities, offering a vertically integrated solution stack spanning robotic arms, vision systems, and mobile bases. With a robotics R&D background and HAX accelerator experience, the company shortens what once required weeks of cross-vendor debugging into a short cycle from unboxing to teaching. The solution stack is positioned as a complete solution for the Americas market.
General-purpose embodied intelligent robotics company Wujie Dynamics announced the completion of its Angel++ funding round, jointly invested by Envision Technology Group and the Beijing Artificial Intelligence Industry Investment Fund, with existing shareholders including Sequoia China, Linear Capital, and Hillhouse Venture Capital participating. Cumulative Angel-round funding exceeds $200 million, and the Angel+++ round is nearing completion.
Why it matters: The original text provides three verifiable pieces of information at once—funding, orders, and personnel—allowing readers to judge the company's commercialization pace and technology-route choices.
Holiday Robotics founder Song Ki-young previously founded SuALab and sold it to Cognex for about 230 billion won (USD 195 million), then started the company again in 2024.
Linear Capital founder Wang Huai and Manycore Technology co-founder and chairman Huang Xiaohuang recorded the first episode of the video podcast "Between the Lines," reviewing 15 years of entrepreneurship and publishing a text excerpt on the day Manycore listed on the Hong Kong Stock Exchange (00068.HK). Huang Xiaohuang discussed how Manycore is entering spatial intelligence based on its accumulated indoor 3D data, positioning it as a bridge between large language models and the physical world, and introduced SpatialLM, open-sourced last March, which converts point clouds and 3D Gaussians into scripts that large language models can understand.
At the Physical AI Frontier Exploration and Industrial Innovation Symposium hosted by Tsinghua University's Department of Electronic Engineering and others on March 28, Wang Yu moderated a roundtable forum where five alumni—Chen Yilun, Yao Maoqing, Wang Qian, Ding Wenbo, and Li Ziyi—discussed the technical bottlenecks and deployment of embodied intelligence.
Pro Universe Robotics President Ge Jin was invited to attend the 2026 Shanghai-Jiaxing AI Industry Matchmaking Exchange Conference and spoke during the roundtable session, stating that the large-model dividend period is far from peaking and is shifting from "general-capability showmanship" to "deep cultivation of vertical scenarios." Pro Universe builds an embodied intelligence industrial large model on the foundation of real application data from industrial scenarios, insists on local deployment to ensure data security, and uses the "general-purpose robot body + quickly replaceable end effector" architecture of its "Dabai" robot to achieve line changeovers in seconds to minutes. During the event, Pro Universe Robotics successfully signed an agreement at the project signing ceremony in Pinghu Economic Development Zone.
SENAD's autonomous robot iLoabot-X won the Best Innovation Case Award at the 2026 Logistics Technology Conference. Company deputy general manager Han Hetian delivered a keynote speech at the loading and unloading technology forum of the conference in Huzhou, sharing the deployment logic of embodied AI in the logistics sector. Drawing on real operational data accumulated from vertical logistics scenarios, SENAD has built the logistics industry's first multimodal VLA vertical large model. The company proposes a path of "deep cultivation of vertical scenarios + data closed-loop iteration" and will continue to focus on the pain points of the final 20 meters of loading and unloading in logistics while iterating this VLA vertical large model.
Wandercraft published an article stating that when non-European-made humanoid robots are deployed in European factories and hospitals, they collect industrial and medical data that flows out via servers not controlled by Europe, while integrators cannot access the source code. The article cites data including China accounting for over 80% of the global humanoid robot market, Unitree announcing 5,500 units, and AgiBot having delivered 5,168 units, and draws analogies to the industry precedents of electric vehicles, photovoltaics, and batteries, arguing that Europe should pursue a path built on three pillars: software sovereignty, reciprocal industrial alliances, and a local market in strategic sectors.
Linear Capital published a post reviewing how OpenClaw grew from 0 to 270,000 GitHub stars in under 100 days, surpassing Linux and React, and called it a resonance of technology, capital, and the zeitgeist in the era of AI equalization.
Dong Mengmeng, founder and CEO of Hangzhou Dewang Nano Technology, won first prize in the finals of the 5th "Hai Ju Ying Cai" Global Innovation and Entrepreneurship Competition with the "PSE.IonTech Platform—a platform-level industrial mother machine for high-performance surface engineering technology equipment built on modular design."
Speaking at Guangdong Province's high-quality development conference on February 24, Shenzhen Capital Group Chairman Zuo Ding said the firm will target key sectors in advanced manufacturing and modern services, investing real money to cultivate Guangdong's leading technology enterprises. As of the end of January 2026, Shenzhen Capital Group had managed total funds of more than 500 billion yuan across all categories and had directly invested in more than 1,800 companies, over 90% of them hard-tech firms. In December 2025, Shenzhen Capital Group helped bring a Guangdong-Hong Kong-Macao Greater Bay Area fund with total scale of 50.45 billion yuan to Shenzhen; it is the first national-level fund of funds undertaken by Guangdong Province.
Physical AI—AI that drives robots to complete physical tasks in the real world—is hard because the physical world is endlessly variable: boxes deform and environments change from shift to shift. A truck-loading robot must simultaneously solve dozens of AI problems, including perception, planning, collision-free dual-arm motion, and force control, while achieving 99.9995% safety confidence for each action.
Yunqi Capital released a research report analyzing the capability gains and deployment boundaries of embodied intelligence in manufacturing and logistics scenarios relative to traditional industrial robots. Traditional industrial robots can reach 80–150 cycles per minute, while current VLA end-to-end execution remains at the 10–15 cycles per minute level, making it difficult to meet sub-millimeter precision requirements. Among deployment directions, inspection is one of the most practically feasible, material handling has the greatest potential for scale, and precision assembly has the highest barrier; the viable form is Agent architecture scheduling plus vertical-domain operation model execution.
Wandercraft co-founder and CEO Matthieu Masselin argues in an article that humanoid robots should aim for "human-machine compatibility" rather than "looking like humans." The company's robots kept a headless design when deployed at the Renault factory, with cameras initially located on the lower abdomen and now moved between the shoulders; the company is developing end effectors and manipulation capabilities for its next-generation product. He believes de-anthropomorphizing can reduce psychological friction and speed up deployment.
Linear Capital reposted LatePost's interview with Tashi Intelligence founder Chen Yilun, who laid out a technical path that differs from the mainstream: he rejects the VLA architecture that grows an action head on top of a VLM, and instead develops its own AWE (AI World Engine), aiming to represent physical quantities such as time, space, and force; it has also abandoned teleoperation data collection in favor of a self-developed collection device combining a wearable glove and a first-person-view camera.
Why it matters: The interview systematically presents technical judgments and a data approach that differ from the mainstream VLA path, giving readers a basis for understanding the specific grounds of the divergence in embodied AI approaches.
The article lists 13 benefits of warehouse automation, covering the use of technologies such as autonomous mobile robots (AMRs), automated guided vehicles (AGVs), automated storage and retrieval systems, pick-to-light picking, RFID tags, and computer vision in material handling, sorting, picking, and inventory management.
Linear Capital partner Yang Jun spoke with Ling Universe's Gu Jiawei, Ludens AI's Xue Lijun, and Bangtang Technology's Lou Xiaodu about AI consumer hardware, focusing on education, companionship, and health. Ling Universe's Xiaofang device shipped more than 20,000 units early on, validating the payment logic of parents buying an "entry ticket" to the AI era for their children; Bangtang Technology cut the customer acquisition cost of its "AI pastor" software from $1.5–2 to $0.3–0.5 and raised its renewal rate from 70% to 80%–90%, and on that basis decided to make a smart ring to enter mental health and religious scenarios.
Skild AI proposes overcoming the robot data bottleneck by watching human videos, arguing that teleoperation is limited by environment diversity and real-time collection scale and cannot reach the data volume required by foundation models. Its approach is cross-embodiment learning: with less than 1 hour of robot data for fine-tuning, the model can learn new skills from video demonstrations alone, mapping human "grasping" onto the execution actions of different robot embodiments.
Wang Huai, founder of Linear Capital, held a fireside chat with Yu Kai, founder and CEO of Horizon Robotics, reviewing Horizon's ten-year entrepreneurial journey and its life-or-death moments. Yu Kai said Buffett, Charlie Munger, and Duan Yongping are his absolute idols, and that entrepreneurship and life decisions are essentially both investments. Horizon follows a risk-averse strategy of "competing where there is no competition" and "not dancing at the edge of a cliff," and at the end of 2019, when it still had more than 3 billion in cash on its books, it cut its headcount by half.
In a keynote article for the AGM conference, Linear Capital founder and CEO Wang Huai argues that before AI's superpower there are only two doors: the US's 0-to-1 innovation and China's 1-to-100 scaling capability. Linear requires its team to subscribe to and use the best AI models from both the US and China (ChatGPT, Gemini, Claude, DeepSeek, Kimi, and others), with the company fully reimbursing the cost.
In a "Linear Tech π" sharing session, Zhao Weiqi, head of Rokid's global open ecosystem, broke down the underlying thinking behind Rokid's journey through a ten-year cycle from three dimensions: original aspiration, patience, and confidence. Over ten years, Rokid has accumulated more than 1,000 intellectual property items and 547 domestic and international patents, concentrated in human-computer interaction, optics, acoustics, spatial computing, and OS capabilities; the company uses a "211" work model, with two rounds of iteration per month, once every two weeks, one week for validation and one week for review.
Zheng Suibing, founder and CEO of Realman, said on December 19 at the 2025 Corporate Social Responsibility Forum that the company is using a "remote workforce network" to let operators direct robots in real time to perform real tasks such as folding towels, utility tunnel inspections, and power control, while accumulating scenario data to feed embodied intelligence. Realman's integrated joint modules have annual production capacity exceeding 100,000 units, its robotic arms have passed CR L3 certification, and their mean time between failures has reached 50,000 hours. The company also co-founded the GPR open-source alliance in February 2023 and released a mobile composite robot development platform in 2024.
Linear Capital held the second "Linear Tech π" salon in Shenzhen, centered on "N+1 possibilities for AI consumer hardware," inviting guests from Rokid, Odyss, D-Robotics, Qinglantu, and CGL to discuss with the investment team; the event received more than 200 registrations.
Dexterity proposes "Transactable World Models," which implement spatial understanding as a shared operator subject to physical constraints; multiple asynchronous skill agents interact with it transactionally, providing uncertainty bounds, rollback, interpretability, and real-time consistency.