Artificial intelligence is undergoing a fundamental paradigm shift. From large language models to multimodal models, the "brain" of AI has acquired the ability to understand, reason, and generate, but a key question remains unresolved: how can AI truly "touch" the physical world?
Embodied AI is the answer to this problem. It combines large-scale AI models with physical entities, achieving a leap from "computational intelligence" to "physical intelligence ." If we compare the large model to the "brain" of a robot, then the communication network is its "nervous system"—this "brain" must process massive amounts of heterogeneous data from dozens of sensors distributed throughout the body in milliseconds and issue synchronous instructions to actuators in microseconds .
embodied robots is not accidental, but an inevitable result of AI moving from the digital world to the physical world.
According to the "China Embossed Intelligence Industry Development Report (2026)," China has become one of the fastest-growing embossed intelligence markets in the world, with the market size growing from approximately RMB 213.3 billion in 2018 to an estimated RMB 1.09 trillion in 2026 , representing an average annual compound growth rate of 22% to 23% .
In July 2026, the Ministry of Industry and Information Technology stated at the 2026 World Artificial Intelligence Conference that China's annual production of humanoid robots is expected to exceed 100,000 units in 2026. Morgan Stanley significantly raised its 2026 forecast for domestic humanoid robot shipments from 28,000 units to 50,000 units , and expects it to reach 446,000 units by 2030 .
Embodied intelligence is rapidly entering the public eye through high-profile events such as marathons and the Spring Festival Gala.
Marathon: Outrunning Humans in One Year. In April 2025, the world's first humanoid robot half marathon took place in Yizhuang, Beijing, with the winner finishing in 2 hours and 40 minutes. In April 2026, the number of participating teams expanded from 20 to over 100, with the Glory "Lightning" winning in 50 minutes and 26 seconds, surpassing the human men's half marathon world record of 57 minutes and 20 seconds . 38% of the participating teams achieved fully autonomous navigation , and the course accumulated a 100-meter elevation gain.
Spring Festival Gala: From Yangko Dance to "Cyber Kung Fu". In the 2025 Year of the Snake Spring Festival Gala, 16 H1 robots from Unitree Robotics completed "Yangko BOT" with a synchronization error of 0.1 seconds. In the 2026 Year of the Horse Spring Festival Gala, Unitree Robotics, Galaxy General, Songyan Power , and Magic Atom will collectively appear, with Unitree presenting the world's first fully autonomous robot swarm martial arts performance, "Martial Arts BOT"—more than 20 robots rapidly changing formation in a swarm, requiring no external positioning, and autonomously coordinating with onboard sensors throughout the entire process.
From "active" to "usable" , robots are accelerating their transformation into "active" and "usable".
As computing platforms and AI capabilities mature, connectivity is becoming one of the key factors determining whether a robot is "truly usable" .
Whether it's humanoid robots or autonomous mobile robots (AMRs), actual deployment places unprecedentedly stringent demands on wireless connectivity: ultra-low latency, ultra-high bandwidth, high reliability, and multi-device concurrency .
ResearchInChina points out that the internal and external communication architecture of robots is facing an unprecedented restructuring, with traditional industrial robot communication architectures approaching their physical limits . The market size for communication systems specifically designed for intelligent robots is projected to expand rapidly from $42 million in 2026 to approximately $300 million in 2030. The value of communication links is undergoing a structural reorganization from "general-purpose industrial parts" to "dedicated core components . "
It is against this industrial backdrop that QOGRISYS launched its Wi-Fi 7 module product line for high-end robots and industrial equipment , precisely covering the market demands at different levels.
O2072PM / O2072PB: Second-generation flagship module, currently the main product being promoted. Based on the Qualcomm FastConnect C7700 (chip code name QCC2072), this is a Wi-Fi 7 + Bluetooth 6.0 tri -band 2×2 MIMO module, and is also O2Flytek's current flagship product for intelligent and high-end industrial equipment . Core specifications: Supports 2.4/5/6 GHz tri-band, with a maximum bandwidth of 320 MHz across all bands ; peak data rate up to 5.8 Gbps ; supports 4096-QAM modulation; supports multi-link operation (MLO) ; Bluetooth supports BLE 6.0 and LE Audio; supports 2×2 MU-MIMO; compliant with IEEE 802.11a/b/g/n/ ac /ax/be standards. The O2072PM/O2072PB design includes all the functions of the QCC2072 , with comprehensive optimizations in RF performance, system stability, and power consumption control compared to the previous generation, fully meeting the stringent requirements of multi-sensor fusion, high-definition video backhaul, and low-latency control.
The O2072PM uses a standard M.2 interface, allowing for easy integration into embedded systems, gateways, industrial PCs, and various robotic devices. With its full performance potential and large-scale deployment , O2072PM has established a clear product iteration path, and its solutions are already compatible with the RK3588 and NVIDIA AGX ORIN platform among smart device manufacturers .
The design goal of Wi-Fi 7 (IEEE 802.11be) is clearly defined as "extremely high throughput", but its value goes far beyond the speed increase - Wi-Fi 7 is not just a speed upgrade, but a connection base tailored for the era of "physical AI" .
320 MHz ultra-wide bandwidth. Double that of Wi-Fi 6's 160 MHz. A humanoid robot equipped with more than 10 cameras and various sensors needs this kind of ultra-wide bandwidth.
Multi-link operation (MLO). One of the most revolutionary features of Wi-Fi 7 is that it allows devices to transmit data simultaneously on three frequency bands: 2.4GHz, 5GHz, and 6GHz. The value of MLO lies in reducing connection interruptions and latency spikes , providing link redundancy and rapid switching capabilities in real-time robot control scenarios.
4096-QAM high-order modulation and CMU-MIMO. Compared to Wi-Fi 6's 1024-QAM, the data capacity per symbol is increased from 10 bits to 12 bits, with a theoretical peak rate of 5.8Gbps. CMU-MIMO enables multiple access points to work collaboratively, allowing dozens of robots in a workshop to maintain stable connections simultaneously without interfering with each other —which is precisely the core requirement for collaborative scheduling of robot swarms.
Multi-sensor fusion and high-definition video backhaul. The O2072PM / O2072P B offers a peak rate of 5.8 Gbps and an ultra-wide bandwidth of 320 MHz, which is sufficient to support the concurrent backhaul of multiple 4K video streams and high-frequency point cloud data .
Low-latency real-time control. Robot motion control is extremely sensitive to latency. Wi-Fi 7's MLO multi-link mechanism provides link redundancy and fast switching capabilities, which can significantly reduce the probability of connection loss in high-density equipment environments such as factory machines and handling robots .
Robot swarm collaborative scheduling. Wi-Fi 7's CMU-MIMO and multi-AP collaborative scheduling technology enable multiple access points to work together, effectively reducing interference and improving air interface resource utilization efficiency.
Cloud-edge-device collaboration. The ultra-high bandwidth and ultra-low latency provided by Wi-Fi 7 form the invisible infrastructure for cloud-edge-device collaboration—the robot uploads sensor data to the edge server in real time for VLA model inference, receives decision instructions, and executes them immediately.
Oufexin is one of the pioneers in the Chinese market for Wi-Fi 7 modules . Currently, there are very few module manufacturers that truly possess complete Wi-Fi 7 engineering capabilities, mass production capabilities, and application implementation experience, while Oufexin has taken the lead in completing the leap from solutions to modules , and from laboratories to application scenarios .
The core of the next-generation robot architecture is no longer the stacking of single computing power , but rather high-performance, low-power, and strongly connected system-level collaboration . The key leap from "single-point intelligence" to "system-level intelligence" requires the seamless integration of the entire chain of computing, perception, decision-making, communication, and collaboration.
Ofeixin's Wi-Fi 7 module provides an indispensable "connection base" in this chain —carrying massive amounts of data with a 320MHz ultra-wide bandwidth, ensuring low latency control with MLO multi-link, and supporting stable operation in complex environments with industrial-grade reliability.
Communication modules are transitioning from "general-purpose industrial components" to "dedicated core components ." In this transformation, Oufexin has secured a key position thanks to its product portfolio of dual flagship Wi-Fi 7 modules and its early mass production capabilities.
Data sources for this article include: "China Embossed Intelligent Industry Development Report (2026)", ResearchInChina "2026 Next-Generation Embossed Intelligent Robot Communication Network Topology and Chip Industry Research Report", the official release of the 2026 World Artificial Intelligence Conference by the Ministry of Industry and Information Technology, Morgan Stanley industry research reports, and official product information from Ofeixin Technology.
