Stial recently won a bid for an AI flexible grinding project for the dynamic and static columns of a domestic high-end medical imaging equipment manufacturer. The project will replace traditional manual processes with AI flexible grinding, and the columns involved are used in high-end dental medical imaging equipment.
At the 2026 World Robot Conference, XinZhiYuan Robot presented under the theme "Full-stack evolution: bringing embodied intelligence into real applications," showing a logistics sorting production line driven by its self-developed world unified model WALL-B, a 22-DOF dexterous hand performing box-opening and flower-arranging tasks, and the home service robot "Xiao Liang."
Foundation Robotics released a demo video of a robotic hand catching a baseball. The post only provides a link to the full video and does not disclose the hand's degrees of freedom, payload, or whether it uses teleoperation or autonomous control.
At the 2026 World Robot Conference, Wiz Robotics showcased two product lines: humanoid robots and intelligent industrial 3D cameras. The humanoid robot "Xiaowei" can respond to voice commands to grasp and deliver drinks, while the inspection robot is equipped with an AGV chassis and supports 360-degree rotation; the intelligent dexterous hand has 16 degrees of freedom, fingertip pressure of 12N, and a maximum lifting load of 15kg. The industrial 3D camera matrix covers interpupillary distances from 90mm to 620mm, including the "Starlight Eye" welding series and the "Smart Light Eye" grasping series, and on-site demonstrations included teaching-free corrugated board welding and 3D point cloud dynamic imaging.
At the 2026 World Robot Conference (WRC2026), Yuanli Lingji demonstrated DM0.5's sub-millimeter block assembly capability, compressing the earlier WAIC challenge of 6 robots assembling a 3.5-meter Great Wall into a more compact on-site setting. The same model's capability boundary is expanding from blocks to objects such as cucumbers and packages, and is under continuous validation. The booth is at A302, Beijing Etrong International Exhibition & Convention Center.
At the 2026 World Robot Conference (WRC 2026) in Beijing, held August 19–23, Elite Robots presented three AI+robotics application scenarios: Lingju model random bin picking (CS66 collaborative robot + Lingju Zhizao end-to-end VLA model + SMC electric gripper), a dual-arm coffee robot co-exhibited with Heshisiwei (supporting 50+ flavors), and a fully automated ice cream robot co-exhibited with Beijing Rural Commercial Bank.
On August 19, 2026, at the World Robot Conference (WRC), EngineAI unveiled EngineAI Awaken, a human-brain-inspired embodied intelligence engine. It is a five-layer architecture comprising the S1 instinctive reflex layer, the S2 motion planning and generation layer, the S3 cognitive reasoning layer, and the S4+S5 self-growth layer (an emotional large model).
Tokyo Robotics demonstrated its dual-arm robot Torobo2 autonomously clearing a table (bussing): it collects dishes and a cloth from the tabletop into a tray, completing the task autonomously in real time (1x speed) throughout. Trajectories are generated by a fine-tuned VLA policy, with visual information from head and wrist cameras. The demonstration verified stable execution under drastic changes in ambient light, as well as the adaptability to re-recognize and continue completing the task after a human intervenes and moves target objects or the tray.
Tokyo Robotics demonstrated its dual-arm robot Torobo2 seamlessly transitioning from "Laundry Folding" to "Table Bussing" in a continuous operation, completed autonomously in real time at 1x speed throughout. Trajectories are generated using a fine-tuned VLA policy, relying on visual information from head and wrist cameras to judge environmental changes. Each task has its own individual control policy (action model), and the policies are switched at appropriate timing to achieve uninterrupted continuous execution between tasks.
The dual-arm robot Torobo2 demonstrates autonomous clothes folding, using visual information from head and wrist cameras to generate trajectories in real time via a fine-tuned VLA policy, executing the entire process autonomously. The first half of the video completes the folding task at 1x speed, while the second half (played at 1.5x speed) shows its flexible adaptation and correct folding of clothing with different shapes and properties, such as shorts, a towel, and a T-shirt.
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.
Kepler exhibited its full Qilin series of heavy-duty quadruped robots at WRC2026. Huang Minshan, NVIDIA Senior Director of Physical AI and Robotics, visited the booth and experienced the Qilin heavy-duty model. The Qilin heavy-duty model has a 300kg-class body weight and a near-ton-class full-load payload, can run continuously for 8 hours on a single charge, and its core components reach IP67 protection rating; the rideable model supports dual modes of carrying a real person for riding plus rear cargo transport.
At the 2026 World Robot Conference, PaXini AI debuted three new products: PX-FOOTRIX, the world's first multi-dimensional plantar tactile sensor; PXCap Pro, a new-generation five-finger data collection glove; and the fourth-generation ITPU sensor series PX6AX GEN4, equipped with the self-developed 6D tactile sensing chip GEN4 FUSE.
The LISMS lab at the University of Auckland and Xi'an Jiaotong University jointly proposed the Video2Knowledge framework, which extracts 6D hand and object trajectories from an ordinary monocular RGB video and converts them into robot action sequences. The system uses WiLoR to recover 3D hand meshes, combines OnePoseViaGen for object tracking, and designs a four-stage physics-aware correction module; manipulated-object pose accuracy rises from 52.5% to 59.0% under frontal views.
At the Beijing World Robot Conference (WRC), held August 19–23, X Square Robot showcased three exhibition areas: home services, logistics sorting, and bodyless data collection. Its fully self-developed end-to-end unified world model WALL-B drives robots to complete dozens of household chores. Logistics sorting reaches an efficiency of 1,816 items per hour with 98% accuracy, at a cost 70% lower than the "humanoid robot + five-fingered dexterous hand" approach, and has already entered routine operation on real production lines. The QUANXTA Zero data collection solution achieves a data-ingestion validity rate above 85% and can reduce training-data costs by 90%.
In a StridingAI demo, a robot autonomously cleared a cluttered tabletop: it understood the semantics of each object and distinguished trash from reusable tableware. The task was completed through coordinated bimanual manipulation and object handovers, and is a long-horizon, multi-step operation. This content is a demo clip released by StridingAI; the original text did not provide a specific robot model or success rate metrics.
How can a robot clear a cluttered tabletop? 🤖 Our Physical AI system lets the robot recognize each item, determine where it belongs, and carry out a long sequence of continuous actions, including coordinated two-arm handovers. Thread 👇
Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.
Why it matters: The original article provides comparison figures for ICL and VLA at the same data scale and a deployment timeline, allowing readers to assess the feasibility of the in-context learning approach for manipulation tasks.
At the 2026 WRC World Robot Conference, the Future Not Far F2 robot autonomously made bolognese pasta on site through 7 consecutive steps with two-arm coordination and no human intervention, based on the second-generation fully self-developed body along with the new-generation WAM world action model and AVLA model. At the same event, the company publicly demonstrated multi-robot long-horizon closed-loop capability for the first time: one robot autonomously collected dirty laundry, loaded the washing machine, and managed the wash cycle, while another took over folding and stacking, all with no human involvement. Four new colors were also unveiled on site: Sweet Cherry Pink, Champagne Gold, Deep Sea Blue, and Mint Green. Booth C136, exhibition dates 8.19–8.23.
As a core participating compiler, Elite Robotics jointly released the 2026 Intelligent Welding Robot Industry Development Blue Book at the 2026 (5th) GGII Intelligent Welding Robot Technology and Application Summit, and its CW series welding workstation full product matrix is featured prominently in the Blue Book.
In August 2026, the 2026 Embodied Intelligence Summer Special Training and Study Camp, hosted by Zhejiang Lingqiao Intelligent Technology Co., Ltd. and co-hosted by Shanghai Artificial Intelligence Research Institute and Zongshen Chuangke (Shanghai) Technology Co., Ltd., concluded. Over the 5-day, 40-class-hour program, all trainees from more than ten institutions and dozens of enterprises and public institutions passed the assessment, with an overall satisfaction score of 96.8 points.
The embodied dual-arm loading and unloading robot jointly developed by Elite and Maixing Robotics has achieved 24/7 unmanned mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds, a loading and unloading yield of 99.9%, and 5 units stably online. The solution uses hybrid force-position control and dynamic trajectory planning to achieve dual-arm coordination, is equipped with the self-developed Yuanqi Primo embodied large model, achieves loading accuracy within ±0.2 mm, and uses a wireless IO four-step handshake scheme to eliminate the need for modifications by the original machine tool manufacturer, shortening the deployment period from 10 days for the first unit to 7 days for the fifth unit.
Why it matters: The original text provides actual performance figures such as line takt time, yield, and deployment period, allowing readers to understand the implementation path of the embodied dual-arm solution in a mass-production workshop.
An embodied dual-arm composite loading and unloading robot jointly developed by Elite and Maixing Robotics has been running in mass production in the drilling workshop of a leading Apple supply chain factory, with a single-cycle takt time of 52 seconds and a loading/unloading yield of 99.9%; the first unit has run continuously for more than a year, and 5 units are online simultaneously.
Why it matters: The original text provides the takt time, yield, and deployment period for dual-arm loading and unloading in an Apple supply chain drilling workshop, which can be compared with single-arm and humanoid approaches to assess engineering trade-offs.
Higher task success rates and faster execution. 🚀 Our physical AI system completed a multi-stage unboxing task involving tool use and high-precision two-handed manipulation. Powered by #STEAM, it learns frame-level task progress from real-world experience of mixed quality.
In a StridingAI demo, the STEAM model from Professor Chao Yu's team at Tsinghua University drives a robot to autonomously complete a multi-stage unboxing task, achieving millimeter-level bimanual coordination through tool use. STEAM models task progress and action quality frame by frame, extracting learning signals from mixed-quality data including expert demonstrations, model rollouts, and human takeovers to improve task success rates and execution speed.
In its home breakfast service scenario, UniX AI's Panther humanoid robot autonomously plans and completes the full workflow, from preparing ingredients and heating food to making drinks and serving the meal at the table. UniCortex handles long-horizon task planning, UniFlex supports rapid learning of new household skills from a few demonstrations, and UniTouch combines visual and tactile perception to improve manipulation reliability for food, kitchen tools, and everyday objects. More information at www.unix-group.ai.
UniX AI released a continuous, uncut video in which the humanoid robot Wanda autonomously completes a full set of service tasks in a real hotel environment, including room organization, table and bathroom cleaning, bed making, and everyday item handling, demonstrating smooth and stable autonomous operation.
Stial has built a full-stack physical AI technology system spanning flexible force control, AI process decision-making, motion control, and robotic execution, serving complex grinding scenarios. Its PolishX flexible force control system can achieve contact force control accuracy of up to ±0.5% FS within the specified range and test conditions, and NextBrain™ AI Mushroom Cloud supports robot modeling, task planning, simulation, digital twins, and AI process decision-making. Related solutions have been applied in computing infrastructure, shipbuilding and composite material manufacturing, automotive parts, 3C electronics, and other fields, and have entered overseas markets such as Southeast Asia.
The Hongxing Technology Xiaomei M9 humanoid service robot focuses on continuous service off-grid and targets elderly care, medical, government, and commercial service scenarios. Its perception, modeling, navigation, and decision-making are 100% completed on local edge computing, enabling it to keep working for more than 6 hours under disconnected or weak network conditions, with zero data leakage. Its millimeter-wave radar fall prediction has an accuracy rate of 99% and a false alarm rate below 1%, and its robotic arm completes the entire process from perception to intervention in just 10 seconds.
Have you ever seen a robot complete a pizza from order to delivery in just 6 minutes? UniX AI Panther receives orders through an app and completes the entire process: preparing the dough, adding toppings, and putting the pizza into the oven, with baking taking only 60 seconds!
At its WAIC 2026 booth, Keenon Robotics demonstrated autonomous humanoid robot operation across four scenarios: coffee making, hotel laundry, a dessert shop, and retail pickup, all without teleoperation. The XMAN-R1 independently picked up a cup, made coffee, and delivered it to a latte art machine for printing.
Stial focuses on the vertical scenario of complex grinding, building a closed-loop physical AI technology around "perception—analysis—decision—execution," and recently received the "2025 Science and Technology Innovation Leading Enterprise" honor from Ningbo Cixi. Its AI flexible grinding solution has been applied in fields such as aerospace, new energy vehicles, chips and semiconductors, and energy storage, in cooperation with a number of leading enterprises. The company is also one of the drafting units of the group standards "Technical Requirements for Industrial Grinding Robots" and "Technical Requirements for Multimodal Perception Fusion of Humanoid Robots," and operates the AI brain NextBrain™ Mogu Cloud system.
FedEx and Dexterity announced an expansion of their partnership to deploy Dexterity's Foresight world model and Mech dual-arm trailer-loading system at scale at the Hagerstown hub in Maryland, after the technology completed years of joint development, testing, and operational validation at pilot sites.
Why it matters: The original article provides details on the production-scale deployment from pilot to a large hub, helping readers understand how physical AI is actually being implemented in logistics loading and unloading scenarios.
Stial recently won a project to upgrade the intelligent flexible polishing production line of a leading domestic precision metal composite materials company, with an order value in the millions of yuan. The solution deploys multiple AI flexible polishing workstations, uses the NextBrain™ Mogu Cloud system for multi-task intelligent decision-making, and is equipped with the self-developed PolishX flexible force control system at the end effector. Through hybrid force/position control and real-time gravity compensation, it adapts to irregular curved surface profiles and dynamically adjusts contact force, serving the AI computing center's liquid cooling pipelines to improve mass-production quality and efficiency.
Hongxing Technology showcased self-developed robots including Dazhuang Z6 and Xiaomei M9 at IME 2026 in Bangkok, Thailand, winning intent for cooperation from many overseas customers. The Dazhuang Z6 industrial humanoid robot is equipped with an edge computing engine; when offline, it processes 100% of data locally and can continue working for 10 hours, with repeat positioning accuracy of ±0.05mm. Xiaomei M9 is equipped with the self-developed local R1 large model and features multimodal human-like interaction and scenario-adaptive capabilities.
Warm congratulations to @leo_lin6 and Jay Moon on winning the Best Paper Award at the RSS26 Dexterous Manipulation Workshop! 🎉 CRAFT: A Tendon-Driven Hand with Hybrid Rigid-Compliant Characteristics Our own team, continuously pushing the boundaries of robotic hands! 🦾
The first robot to fly across Sayram Lake! PNDbotics and @Inspire_robots jointly launched a high-altitude flight challenge, gripping a paraglider above Sayram Lake in Xinjiang!
During the 2026 World AI Conference, Fudan University's Institute of Intelligent Robotics and Advanced Manufacturing Innovation presented achievements in embodied intelligence, physical intelligence, and related areas. Professor Su Hao delivered a keynote speech on physical intelligence at the main forum; Sudo Technology made its first public appearance in China and demonstrated a four-robot collaborative battery module assembly production line; and Zhang Lihua's team's intelligent inspection robot dog appeared on a CCTV program.
At 2026 WAIC, JAKA Robotics' full-stack, in-house developed embodied intelligence products were showcased together. The JAKA K1-25 humanoid robot weighs under 25 kg, has a maximum payload of up to 30 kg, and features 1 kHz force-control response and ±0.1 mm repeat positioning accuracy; the new energy motor collaborative assembly system jointly built by JAKA Kargo and Hasco Automotive has a recognition accuracy of 99% and can complete 0.5 mm fine-thread screw fastening in 10 seconds.
At the 2026 World Artificial Intelligence Conference (WAIC), Kepler unveiled its full Qilin series of quadruped robots, calling them the world's first hybrid-architecture quadruped robots. They feature self-developed planetary roller screws and can walk continuously for 8 hours on a single charge. The Qilin rideable model supports carrying a real person and rear cargo transport, has IP67 protection for core components, and can climb slopes up to 45°. The heavy-duty flatbed model weighs around 300 kg, has a near-ton payload capacity, stands over 2 meters tall, and can walk continuously for 8 hours on a 1-hour charge.