Ranking Iconic Robots
Foundation Robotics released the video "Ranking Iconic Robots" on YouTube, ranking iconic robots. The video's caption says "AI is always biased," and the music used is "Russian Dance" recorded by PM Music.
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Foundation Robotics · YouTubeAI score77
星海图 · 微信公众号AI score3232 Galaxea's Zhao Xing Wins 2026 Ant InTech Award
Zhao Xing, chief scientist at Galaxea, was selected for the 2026 Ant InTech Award, becoming one of 10 young scientists honored. The award was launched by Ant Group in 2024, and this year's edition focuses on four areas: AGI, embodied intelligence, digital medicine, and data processing and security privacy. On the same day, Zhao Xing moderated a roundtable discussion with Michael I. Jordan and Zhang Hongjiang at the opening event of the Bund Conference.
Fudan Multimodal Embodied IntelligenceAI score3232 Fudan Intelligent Robotics and Advanced Manufacturing Lecture Series Session 12: Professor Su Hao on "A New Journey Toward General Physical Intelligence"
The 12th session of Fudan University's Intelligent Robotics and Advanced Manufacturing Lecture Series invited Su Hao, Haoqing Distinguished Professor and inaugural dean of the Institute of General Physical Intelligence, to give an academic talk. Nearly 500 faculty and students from on and off campus attended, and the event was held in a combined online and offline format for the first time.
云启资本FeaturedAI score6060 Yunqi Podcast Roundtable: Three Embodied AI Founders Discuss World Models, Scaling, and Deployment Bottlenecks
During the World Robot Conference, Yunqi Capital co-hosted a themed roundtable with SEE Fund, which was included in the podcast Attent!on. Three founders—Xu Huazhe of PokeBot, Li Qiang of Quantum Dynamics, and Liu Nianqiu of Feimo Yi Technology—shared their views on world models, scaling, and deployment.
Why it matters: The three entrepreneurs approached the topic from models, hardware systems, and mobility respectively, specifically breaking down where the bottlenecks in embodied intelligence deployment lie and where they diverge on scaling efficiency.
Robotphoenix/翼菲科技AI score3333 RoboTechnik appears at 2026 Global Industrial Internet Conference, Li Xiangming shares paths for industrial robot breakthrough
Li Xiangming, general manager of RoboTechnik's Embodied Intelligence Business Unit, gave a keynote titled "How Industrial Robots Can Break Through in the AI Era" at the 2026 Global Industrial Internet Conference held in Liaoning, proposing four breakthrough paths: reliability, ease of use, full-category plus embodied intelligence, and going global.
IEEE RASAI score3030 Robotics and automation? IEEE RAS experts offer informal reflections on familiar terms
At the close of an IEEE RAS Communications Committee meeting, several IEEE experts held an informal reflection on the terms "robotics" and "automation": automation makes processes repeatable, efficient, and predictable, while robots come into play when automation requires a physical presence. The experts noted that not all robots involve automation—some can be fully teleoperated by a person—and that not all automation involves robots, and can even be done purely in software. Differences in how the terms are defined can also affect cross-country statistics for products such as robot vacuum cleaners, perceptions of technological strength, and the examples available in education.
Monolith Management · 微信公众号AI score5454 Eve of BrainGPT? Monolith closed-door salon discusses what brain-computer interfaces still lack for a product leap
On August 29, Monolith held a closed-door brain-computer interface salon with various parties, summarizing several observations on where brain-computer technology stands and what it still lacks for a product leap. The article notes that technology routes have diverged into invasive electrodes, EEG, brain surface, vascular intervention, electronic skin, ultrasound, and others, and the market has not yet converged; brain data faces a data wall where quality, scale, and diversity are difficult to achieve simultaneously, and although public EEG data has accumulated to tens of TB, metadata is not standardized, and the industry has no consensus on whether to first solve acquisition or first understand existing signals.
智平方 · 微信公众号AI score2424 AI² Robotics' Zhang Peng: Diverse Real-World Scenarios Drive Continuous Evolution of Physical AI
AI² Robotics was the only embodied intelligence company invited to deliver a keynote speech at the APEC Forum on Innovation Empowering High-Quality Development of SMEs in Guangzhou on September 1. Co-founder Zhang Peng gave a speech titled "Trends in Physical AI Development." Zhang noted that developing general-purpose intelligent robots requires coordination among AI models, hardware manufacturing, and real-world scenario data, and that the industry should build a high-value training system centered on real, diverse, and non-homogeneous data, letting robots work continuously in diverse real-world scenarios to drive the evolution of physical AI.
The Verge – RobotAI score6060 The humanoid robot butler dream doesn't work
The author argues that the future of home robots will not be a humanoid butler that does everything, but rather an AI robot brain coordinating the autonomous devices already in the home. At CES, she challenged every humanoid robot she encountered with a bottle of laundry detergent, and not one could open the cap.
中科慧灵 · 微信公众号AI score2727 CASBOT CEO Yang Ping Attends 2026 China International Big Data Industry Expo, Shares New Data-Driven Path for Embodied Intelligence
At the 2026 China International Big Data Industry Expo, CASBOT CEO Yang Ping delivered a keynote speech titled "Bringing Data into the Physical World: A New Data-Driven Path for Embodied Intelligence" at the industrial ecosystem exchange event "Embodied Intelligence, Data Elements, and Vertical Applications," proposing that robot data is moving from "what it has seen" to "what it has done."
中科慧灵 · 微信公众号AI score3030 CASBOT CEO Yang Ping Shares New Data-Driven Path for Embodied Intelligence at 2026 China International Big Data Industry Expo
At the "Embodied Intelligence, Data Elements, Vertical Applications" industry ecosystem exchange event at the 2026 China International Big Data Industry Expo, CASBOT CEO Yang Ping delivered a keynote speech titled "Bringing Data into the Physical World: A New Data-Driven Path for Embodied Intelligence," proposing that the value of embodied intelligence data must be built on real scenarios, real data, and real industrial capabilities.
OFweek RoboticsAI score5252 PaXini's valuation tops 10 billion: why tactile sensing is seen as the next frontier in robot perception
OFweek published an analysis of the industry logic behind tactile sensor company PaXini's valuation crossing the 10 billion yuan threshold. After its Series B funding in March 2026, its valuation exceeded 10 billion yuan; in August it secured another 1 billion yuan in strategic financing, bringing cumulative funding to nearly 4 billion yuan. Over the past year, cumulative shipments of its self-developed tactile sensing chips surpassed 1 million units, and the GEN4 FUSE chip is based on four generations of architecture iteration.
Boston DynamicsAI score3030 Ask a Roboticist: Meet Mark, the "Robot Doctor" on the Atlas Repair Team
Mark DiLeo, lead technician on Boston Dynamics' Atlas service and repair team, shares how he repairs the bipedal humanoid robot. He reveals that the worst case was when the robot fell and its leg completely split from its torso; the research version R1 requires one to two days of downtime each time it falls, while the production version D1 was designed for manufacturing and on-site customer repair, making it easier to service, and the team can usually repair it within one to two hours, getting the robot back to performing backflips.
机器人daily · 微信公众号AI score6262 2026 World Robot Conference Highlights Diverging Paths in Embodied Intelligence: Scenarios, Data, and Form Factor Debates
At WRC 2026, more than 300 companies in the embodied intelligence supply chain exhibited, with clear disagreements emerging across deployment scenarios, data training approaches, and robot body form factors. On scenarios, Leju and Dobot are targeting industrial and logistics warehouse settings, while Moqi argues for first entering unstructured settings such as the home to accumulate data. On data approaches, Galaxea uses almost entirely real-world data and is advancing a 1 million-hour real-data plan, while Galbot sticks with a Sim2Real simulation-based generalization approach.
Sergey LevineAI score4141 Sergey Levine podcast discusses the current state of humanoid robots
Thanks to Ryan for visiting; this was a fun conversation. Key points from the quoted tweet: This episode of Peterman Pod features Sergey Levine, a top global robotics researcher and co-founder of Physical Intelligence, discussing the current state of humanoid robots, how China's robotics ecosystem compares with that of the United States, the possibility of OpenAI and Anthropic entering the robotics field, robotics research papers he recommends, and his predictions for when humanoid robots will be deployed.
鹿明机器人 · XAI score1414 NIX breakdances at Beijing sports event
At the Beijing robot sports event, someone filmed a small robot breakdancing. Luming Robotics replied with a like and said NIX's dance moves are very cool😎
鹿明机器人 · XAI score1212 NIX cheerleaders steal the spotlight at the opening event
Cheerleading first, then breaking—NIX is clearly here to steal the show. 🤣
OFweek RoboticsAI score5252 Leju Hosts Three Dialogues at WRC: Robotics Industry Shifts from Making Movements to Doing Things Reliably
The author reviews three dialogues hosted jointly by Leju and Ant Lingbo at WRC, covering whether embodiments are easy to learn, whether data is easy to use, and whether models are easy to evaluate, with 12 guests in total. Key viewpoints include that hardware is becoming a precondition for model capability, that Ant Lingbo's real-world data exceeds 100,000 hours and covers more than 20 configurations, that Noitom says about 20% of data plays a core role in model behavior, and that evaluation should guide adjustments to data distribution; on this basis, the author argues that industry attention is shifting from making a single movement to doing a task reliably and consistently.
君联资本AI score2424 Legend Capital: After Backing Trillion Zhipu and ChangXin
Legend Capital has achieved 9 IPOs since the start of the year; Zhipu's market value briefly surpassed 1 trillion yuan, and ChangXin Technology's market value briefly surpassed 4 trillion yuan. The Social Security Zhongguancun Special Fund it manages (5 billion yuan in its first phase) has seen its first batch of portfolio companies—Zhipu AI, SJ Semiconductor, and Jingfeng Medical—go public. The fund has leveraged more than 30 billion yuan in social capital cumulatively, a leverage ratio of more than 9x.
云启资本AI score4141 WRC Recap: Yunqi's Embodied Partners' "Real-World" Report Card | Yunqi x WRC
Yunqi Capital brought its embodied portfolio companies, including Zibianliang Robotics, Stardust Intelligence, Zhi Ping Fang, Realman, and Keenon Robotics, to the 2026 World Robot Conference. Zibianliang's WALL-B-driven logistics sorting solution reached 1,911 items per hour in testing and has been deployed on real production lines; Stardust's rope-driven body has completed batch deliveries at the thousand-unit level and plans to reach 10,000-unit annual capacity within the year; Zhi Ping Fang open-sourced its brain-inspired VLA model NeuroVLA; and Keenon released its service-industry VLA architecture KOM 3.0.
OFweek RoboticsAI score5353 Swiss startup Flexion demonstrates humanoid robot autonomously completing office package pickup task; commentary says AI models, not hardware, are the key to competition
According to Wired, Swiss startup Flexion Robotics used a modified Unitree humanoid robot to autonomously open doors, climb stairs, take an elevator, and retrieve and unpack a package in an office. Its approach trains individual skills in simulation, with a master AI model learning task decisions by watching human videos and orchestrating skill combinations, and every layer trained with reinforcement learning. The article cites an ABI Research analyst saying humanoid hardware is becoming commoditized and AI models are the core competitiveness, and contrasts the US bet on models with China's hardware mass-production advantage.
MassRoboticsAI score4545 ATDev updates progress on autonomous wheelchair development
ATDev has updated progress on its autonomous wheelchair development, building a modern power wheelchair equipped with a collaborative robotic arm under the ARPA-H-funded RAMMP project. The wheelchair uses a shared autonomy model in which the user decides the path and the system handles fine adjustments, with plans to add teleoperation and federated learning features. ATDev is working with Meta to apply AI models to the wheelchair, with both parties betting on open source.
Persona AIAI score5151 Persona AI explains why humanoid robots target shipyard welding rather than warehousing
Persona AI explains that its humanoid robots target skilled trades in heavy industry rather than warehouse handling: the shipbuilding sector faces a labor gap of about 40,000 workers, welding shortages constrain production, and shipyards are designed for human bodies, so legged robots require no site modifications.
石麻笔记 · 微信公众号AI score6767 World Model EP06: Interview with the two lead authors of VPP on VPP, BagelVLA, and Ctrl-World
Shi Ma Notes interviewed Hu Yucheng and Guo Yanjiang, the two lead authors of VPP (PhD students of Professor Chen Jianyu at Tsinghua University's Institute for Interdisciplinary Information Sciences), covering three works: VPP, BagelVLA, and Ctrl-World.
Foundation Robotics · XAI score55 The world through a robot's eyes may be a simulation
Are we living in a simulation? If you are a robot, the answer may be yes.
Sergey LevineAI score3030 Chelsea Finn on robots entering the GPT era
Physical Intelligence co-founder Chelsea Finn spoke at Startup School 2026 about building general-purpose robots in the real world: reinforcement learning doubled robot throughput, and the system can run autonomously for hours. She believes robots are entering the "GPT era"—moving from specialized models to general systems that work across tasks and across robots. Sergey Levine remarked that Chelsea's talk was once again rock-star level, and that robots really can fold laundry and make espresso!
慧闻科技AI score2222 Official Announcement | Huiwen Robot Strategic Upgrade: Building Industrial Agents on an AMR Foundation
Huiwen Robot officially announced that it is elevating industrial agents to the company strategy level, building a "brain" on an AMR foundation, with a long-term goal of "one brain, multiple machines." The industrial agent is divided into three layers: the intelligence layer, the robot layer, and the industrial system layer, with a unified hub responsible for task understanding, resource scheduling, and capability invocation. The iBen X series AMRs cover 100 kg to 1500 kg and have been delivered in batches in industries including 3C electronics, semiconductors, precision manufacturing, auto parts, and footwear and apparel. Embodied intelligence is under research and development, with wheeled dual-arm systems and VLA large models as the direction.
SkydioAI score3232 Skydio DFR vs. Flock ALPR: Privacy, Surveillance, Intelligence, and Transparency in Public Safety Technology
Skydio compares its Drone as First Responder (DFR) with Flock's automated license plate recognition (ALPR) network point by point: Flock cameras run continuously, record every vehicle that passes, and retain data for 7 days by default, with city and county deployments ranging from dozens to thousands of units. DFR, by contrast, collects data only when a named human pilot launches for an authorized police, fire, or EMS mission, and video is uploaded to a secure digital evidence management system; most cities and counties currently have fewer than 10 DFR drones.
澎湃新闻科技频道 · 微信公众号AI score3838 Interview with Insta360's Liu Jingkang: Business Competition Needs Civility, Panoramic Cameras Still Two Orders of Magnitude Away from Phones
Insta360 CEO Liu Jingkang said the company has maintained a panoramic camera market share above 60% for years, but it remains two orders of magnitude away from phones, and the company strongly opposes vicious price wars. Insta360 launched its new ultra-flagship panoramic camera X6 on August 12, and also previewed the Go Ultra with AI voice features. Currently 43% of Insta360's code is AI-generated, and the company's goal is to improve efficiency rather than pursue being AI native.
松山湖国际机器人研究院 · 微信公众号AI score4646 In Conversation with Li Zexiang: How to Mass-"Manufacture" Hard-Tech Entrepreneurs | Media Reprint
In an interview, Li Zexiang described his incubation system, from the Hong Kong University of Science and Technology's 3126 Laboratory to the XbotPark robotics base in Dongguan's Songshan Lake in 2014. As of 2025, it has incubated more than 280 hard-tech companies with a combined valuation exceeding 500 billion yuan, of which 4 have gone public and 12 have grown into unicorns or quasi-unicorns.
松山湖国际机器人研究院 · 微信公众号AI score3838 "Thoughts Shine on Lingnan" in Dialogue with Li Zexiang: Greater Bay Area Builds a Science and Innovation Hub with a Super Ecosystem | Media Reprint
On August 8, the production team of "Thoughts Shine on Lingnan" visited the XbotPark robotics base in Songshan Lake, Dongguan, and spoke with founder Li Zexiang to analyze the Greater Bay Area's supply chain and science and innovation ecosystem. Li Zexiang said that hardware iteration in the Greater Bay Area can be 20 to 30 times faster than in Silicon Valley, at only one-tenth the cost, and more than 40% faster than in the Yangtze River Delta; in XbotPark 1.0 (2014 to 2020), 60 small teams had an 80% survival rate, and 15% became unicorns or quasi-unicorns.
LeadeRobotAI score7272 AMD Bets on the Humanoid Robot Brain: Analysis of the Ryzen AI Embedded X100 Series and the Industry Landscape
At its Advancing AI event, AMD introduced the Ryzen AI Embedded X100 series processors for humanoid robots, the Kria AI SOM modules, and the Robotics Software Suite, with sampling in June and mass production in Q4. The article's analysis holds that AMD's combination of x86 real-time control, unified memory, and FPGA targets industrial quasi-humanoid and dual-track supply chain scenarios; in the short term it is unlikely to shake Nvidia Thor's roughly 68% share of the high-end bipedal segment, and its opportunity lies in capturing the installed base of industrial PCs plus discrete GPUs and serving as a second supplier.
澎湃新闻科技频道 · 微信公众号AI score5151 Interview with Fudan's Chen Tao: Embodied foundation model architecture urgently needs a breakthrough; a GPT moment is unlikely within two years
Chen Tao, director of Fudan University's Deep Learning Laboratory, said in an interview with The Paper's tech section that mainstream VLA models rely too heavily on successful-trajectory data and lack failure and error-correction data, leaving robots without autonomous error correction or continual learning capabilities. The embodied foundation model architecture urgently needs a breakthrough, and an embodied GPT moment will be hard to achieve within two years.
Boston DynamicsAI score3838 Ask a Roboticist: Meet Taylor, Engineer on Boston Dynamics Atlas Compute and Perception Team
In an interview, Boston Dynamics mechanical engineer Taylor Frey-Baker discusses the design of the electric Atlas's head and how she entered the field. She is responsible for the compute core inside the head, which houses four perception modules with stereo vision; the head's modular design allows the entire unit to be swapped out and the compute core upgraded like a game cartridge. The hydraulic Atlas did not need a head because it performed movement demonstrations, whereas the electric Atlas relies on head cameras for a wider field of view and uses lights and sound to signal its status to people nearby.
PALAI score3131 PAL Robotics: 20 Years in Collaborative Robotics as the Industry Begins to Move in the Same Direction
Founded in 2004 and active in collaborative robotics for more than 20 years, PAL Robotics' mobile manipulation platform TIAGo Pro is cited as a success case for Catalonia in ACCIÓ's report "La robòtica a Catalunya"; the platform uses flexible-drive robotic arms and an enhanced non-verbal interaction system.
Foundation Robotics · XAI score99 Foundation Robotics hints at big things next year
Thanks for having us at the Advancing AI event last week, @AMD! Next year will be a big year 🤫
线性资本AI score5858 Tashi Intelligence's Ding Wenchao: Embodied AI May Reach a True Emergence Moment in 24 Months
Ding Wenchao, co-founder and chief scientist of Tashi Intelligence, judges that embodied AI is currently close to the level of autonomous driving in 2021-2022, and may enter the 3.0 era with in-context learning capability in about 24 months. At WAIC, Tashi Intelligence released its new-generation embodied AI native foundation model AWE 3.5, which greatly increases data volume compared with 3.0, moves toward a native model architecture, and collects data in a human-centric way with tactile gloves, working with a 21-DOF dexterous hand to complete manipulation.
Magna · XAI score1616 Magna discusses scaling AI in factories
AI is not the hard part. Getting it to run consistently and reliably across dozens of factories worldwide? That is the challenge. Magna's Todd Deaville joined the @RoadToAutonomy show to talk about AI, robotics, and what it really takes to scale innovation in manufacturing. 🎧 https://bit.ly/4pEOPNJ
OFweek RoboticsAI score6868 Six guests at WAIC Embodied AI Forum predict robots' ChatGPT moment is still two to five years away
At the 2026 WAIC Embodied AI Forum, six guests predicted that robots' ChatGPT moment is two to five years away, with Yao Maoqing saying two years and Xu Danfei saying five, though no consensus has formed on the criteria for judging it. The discussion focused on three main threads: the data flywheel must be built through real deployments rather than data collection alone; VLA and World Action Models (WAM) are not opposites, with PI continuing the VLA path through π0.7 while Dyna turns to WAM; full-stack capability is becoming a trend, but a full-stack business model is not necessarily the only answer.
智源研究院 · 微信公众号AI score5858 BAAI Scholars Speak: Five Scholars Debate AI Self-Evolution from Being Trained to Self-Iteration
The latest installment of BAAI's Scholars Speak takes AI self-evolution as its topic, with five scholars—Sui Yanan, Gong Jiangtao, Zhou Shiji, Yang Jian, and Li Chaozhuo—discussing it from perspectives including embodied intelligence, cognitive-augmentation agents, agent decision optimization, AI coding, and trustworthy AI safety.