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One billion yuan of financing has been launched, with the ability to accelerate the performance of t

Competition for physical intelligence is moving from the model level to the task level. While peers are still working on rolling hardware parameters, rolling model sizes, the methodology of robotics has leaped onto paper not merely to pursue extreme param


图片Competition with physical intelligence is shifting from the model layer to the task layer. While peers are still rolling hardware parameters, rolling model sizes, the methodology of robotics is leaping onto paper, not merely pursuing extreme parameters, but merely matching optimal engineering solutions to the scene.

Defining human arm standards using force control and consistency

If WAIC, or WRC, is the industry's future narrative, showcasing the cutting edge of robotics, then the showcase stands on the pedestrian terrain where all smart applications serve the industrial landscape.

The ART series of industrial-grade torque-controlled human arms is aimed at a series of problems such as past robots not understanding the magnitude of the work force, changing the output of repetitive programming, a single lack of joint redundancy in the movement path.

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ART series industrial power controlled human arm

To address the lack of pain points in traditional robotic grip sensors, Fayo integrated high-precision torque sensors in the seven joints of the human arm, with torque sensing accuracy of ≤0.3N m, a closed-loop response rate of 1 kHz, which can capture subtle changes in external force, complete precise chemical processes such as counter-assembly, screw locking, fabric cutting.

The FAO industrial-grade force-controlled human arm provides a 3kg and 14kg load option, with maximum repeatable positioning accuracy greater than ±0.03mm, which can meet both cutting-edge scientific research and light commercial requirements, as well as cover general industrial scenarios and overload transportation needs.

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The collaboration of thousands of orders with a number of companies is the cornerstone of the hardware engineering's scale-up capabilities. Currently, Fao has signed orders for 2,000 power-controlled human arms with Bloomberg, a joint venture, and Jack Tech.

BW10-Lite is an industrial-grade intelligent robot.It's on board.Full joint-powered man-made mechanical arm of the FAOART serieswithThe company co-develops the Zhengzhou-Bolt aluminum industrial vertical model.It supports the rapid learning of small samples, the autonomous completion of material harvesting, transportation, and placement of entire process cycles.

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BW10-Lite is an industrial-grade intelligent robot.

Looking at the parameters, it's a two-armed platform with no small, precision, and low torque, but the real-world details are elsewhere: according to the staff, multiple devices can allocate tasks dynamically based on materials, frames, and partner states, and correct positions when interconnected.

Another big problem in the industrial scene is the scarcity of data. At the Expo, FARO robots demonstrated a wearable wheel-footed robotic arm remote control platform capable of systematically completing motion mapping and arm tracking, facilitating the collection of environmental interactions, human-machine interactions, operational processes, and other data.

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Wheel-footed robot remote control system

Remote operation is important not because of the technological coolness of the method of extraction, but because it can simultaneously collect movement, process and environmental interaction data to fuel model iterations.

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Wheel-footed humanoid robot presses down on feed

Another wheel-foot robot completed the load-bearing operation on the thrust, demonstrating the potential of mobile operation integration in industrial scenarios. The load-bearing, load-bearing, screw locking, these workstations are not single-point demonstrations, but are located in a continuous process with front-to-back workstations, connection delays, and load-bearing deviations, for centralized verification of the reliability of multi-point work.

It's not a blind pursuit of people putting their art in an evolutionary black box.

In areas such as precision-control assembly, multi-point flexibility sorting, and low automation of workstations designed specifically for humans, man-made robots are naturally an excellent weapon of choice. However, in large-scale production lines, man-made robots are more jobs where space is unsuitable or costly to cover.

More and more companies are working to break through the application of artificial intelligence to give robots a stronger brain. Trade fair sites such as VLA models and World Models have not disappeared, but have been incorporated into the ecosystem of industrial robots and collaborative robots.

This is confirmed by the workstations on display at the FARO Robotics Intelligent Manufacturing Zone. The smart robot workstations solutions on display are logically quite consistent: no longer selling a general mechanical arm, but delivering an operating unit that has already packaged process parameters, power control strategies, visual recognition, end-to-end tools and data tracking.

Shoe-making graphite and substrate intelligent program is one of the most interesting parts of the smart manufacturing area, with a pair of pairs of shoes as the transmission line enters the workplace, real-time reasoning and three-dimensional perception on the system side, identifying the shoe type and graphite trajectory. A French OFR series collaborative arm mimics the precise trajectory of skilled workers, waterproofing, both solves the problem of graphite consistency, avoiding leakage and overcoating, and reducing corrosive gas threats to workers' health.

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Smart shoe-making robots

Based on a 4D native world model, this is the best possible synthesis without the need to install a 3D depth camera, only a home-level RGB camera can complete spatial modeling, collaborate with robots through model training to track the graph trajectory with a full positioning accuracy of ±0.02mm, and generalize the ability of different shoe graphing processes.

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Smart shoe-making robot program

The account of the landing of the production line is also clear, the efficiency of individual jobs improved by 1.5 times, the goodness rate reached 99.9%, single jobs imported can be deactivated in half a day and completed in 1.5 to 2 years.

Smart-arm folding carton robots demonstrate another value of two-arm synchronization. Folding, unfolding, folding, shaping movements are perfect, and even when the folding position is shifted, the hand and eye cameras can quickly recognize and the synchronous brain correction continues to complete the folding task.

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Smart two-armed folding carton robot

The difficulty is not a single movement, but the precision and timing of the coordination between the two hands, which is precisely the core increase of the two arms relative to the single arm, which the workstation can adapt to multi-specification paperboard with irregular stacking, reducing the dependence on the general material of the rule.

Welding is another relatively independent technological route, with AOE robots armed with technologies such as AI vision and reinforcement learning from the AIRLab platform, allowing collaborative robots to evolve into welding smart bodies.

In ship welding scenarios, small mobile spaces, and varied welding locations, robotics have led to a combination of brainstorming and brainstorming for welding scenarios. Based on the AIRLab smart welding hub, the brainstorming intelligent body can complete a series of tasks such as autonomous welding identification, point-cloud reconstruction, path planning, process modulation, gestural avoidance. A set of units can both cover the sub-groups of ships, and can cope with the mixed production of multiple types of pieces, as machine model data increases, as well as learn to master more processes called and replicated.

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AIRLab connects smart phones

Several of the above application scenarios have changed, but the four things that remain unchanged are reliability, precision control, modular deployment, and intelligent interaction. This is the true meaning of the Intelligent Workstation Foam product form: providing an evolutionary process of black box foaming, locking complexity in a box, and delivering certainty to customers.

Five strategic partnerships to secure $1 billion in funding to consolidate the foundation of a physically intelligent ecosystem

The ecosystem of intelligent technology spans many frontier interdisciplinary disciplines, covering a wide range of application scenarios, and it is difficult to encompass the entire industrial chain with just one enterprise.

This year's trade fair saw the completion of five eco-strategic partnerships, including ITU Technology, Bloomberg, Shadow Intelligence, StarSource Intelligence, and Intelligent Intelligence.

Depending on their respective technological advantages, the parties will collaborate deeply in areas such as physical intelligence, flexible AI, perceptual decision-making, and industry-specific automation, to combine intelligent algorithms with hardware at the base, to combine local cases for multi-industry and feature manufacturing scenarios.

Behind the strategic partnership is the brand-new vision of FARO Robot:Beyond Massive Industrial Autonomy (BIA) is an initiative that aims to scale up industrial intelligence.Only by testing this type of reliable robotic body, all sorts of algorithms, can AI continue to evolve into a multi-dimensional industrial scene, pushing intelligent manufacturing into a new phase.

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Robotics provides the backbone of hardware technology, combining intelligent perception decision-making algorithms, production line flexibility manufacturing scenarios, and driving intelligent technology from single-point innovation to scale-up, from technology integration to ecological collaboration.

This redefines the value of Tier-1 in the age of physical intelligence: the delivery of integrated systems is just the beginning, and the core is the output of open, reliable robot underpinnings, enabling ecosystem partners to build on the carrier and deploy innovative applications for different scenarios.

To be the foundation, it is not the will, but solid engineering and supply chain capabilities.

The company is one of the nation's pioneers in the innovation of the supply chain, and its core components are fully self-produced, with controllers, encoders, servo drivers, pulse reducers, servo motors, brakes, and more all in its own hands. In the ART series, a move that explains the problem is that the full-scale pulse reducer SKU has been shortened to 10 generic models, based on a scalable manufacturing capacity of more than 300,000 units per year, reducing costs and delivery cycles.

And that's why, for two consecutive years, Fau has been able to speak more and more specifically about this issue.

From collaborative robot popularizers to Tier-1 suppliers of humanoid robots, the boundaries of Fao's capabilities continue to stretch, and the full-fledged capabilities featured at this trade fair highlight its core strength as the foundation of the corporate intelligence industry.

On the last day of the trade fair, FAO Robot announced the completion of the latest round of C++, round of D financing, totaling almost 1 billion yuan, with investors including Meizu Longjuel, Yongin Capital, Lionshan II, Suzhou Investments and other institutions. The funds will be invested in the capacity of core components, as well as the expansion and development of the field of industrial hardware intelligence, further coding for the development of core products such as the ART series of industrial power control arms, AIRLab hardware tool platform.

With physical intelligence, the industry is no longer lacking in robots that can make movements, what is lacking is a system that can turn movements into stable capacities.

The company is transforming its future expectations of investments in physical intelligence into reliable productivity tools and impressive ROI digital silicon equipment in the workshops, with stable operating times, changes in productivity ratios, upgrades in investment cycles. From single-engine capability to mission closure, this path is cross-cutting, requiring only engineered methods, one meter by one.

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