Qinglong V3.0

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Qinglong V3.0 (Chinese: 青龙, meaning "Azure Dragon" or "Green Dragon") is the 2025 generation of Qinglong, described by its developers as the world's first full-size, open-source "public-version" humanoid robot. It was developed by Humanoid Robot (Shanghai) Co., Ltd. and the National Local Joint Humanoid Robot Innovation Center. Standing 185 cm tall with 60 degrees of freedom, Qinglong V3.0 was unveiled in May 2025 and showcased at the World Artificial Intelligence Conference (WAIC) 2025 in Shanghai on July 27, 2025, where it appeared carrying a "time-space computing backpack" that adds 5G, BeiDou satellite positioning, and Ascend edge-compute modules to push the robot into outdoor tasks such as patrol and delivery.^[43][44]

Qinglong is the robot; OpenLoong is the open-source community and software platform that publishes the robot's hardware designs, control framework, algorithms, and datasets and coordinates the developer ecosystem around it. The two names travel together, but they name different things: the machine (Qinglong) and the open project surrounding it (OpenLoong). The OpenLoong community is operated jointly with the OpenAtom Foundation and serves as the hub for collaborative work on embodied AI and robotics.^[45]

The Qinglong project holds a distinctive position in the global humanoid robotics landscape as one of the most ambitious government-backed open-source robotics initiatives. Unlike proprietary humanoid robots developed by private companies such as Tesla Optimus or Figure AI's Figure series, Qinglong is designed from the ground up as an open platform. Its hardware designs, software control frameworks, and simulation models are publicly available, enabling researchers, developers, and companies worldwide to build upon the technology.

Qinglong V3.0 introduced significant upgrades over its predecessors, including an increased number of degrees of freedom (from 43 to 60), a modular architecture supporting flexible combinations of walking, manipulation, and perception modules, and integration with the "Gewu Zhizhi" collaborative AI training platform. At WAIC 2025, the Innovation Center presented V3.0 as part of an expanded product matrix that also included Qinglong Pro, Qinglong Lite, and Qinglong Wheel, spanning both bipedal and wheeled-arm technology routes.^[44]

Background

China's national humanoid robotics strategy

The Qinglong project emerged from a broader Chinese national strategy to establish leadership in humanoid robotics. In October 2023, China's Ministry of Industry and Information Technology (MIIT) released the "Guiding Opinions on the Innovative Development of Humanoid Robots," a policy document that set out ambitious goals for the industry. The guidelines called for establishing a humanoid robot innovation system, achieving breakthroughs in key technologies, and ensuring a reliable domestic supply chain for core components by 2025. By 2027, the ministry stated that humanoid robots should become "an important new engine of economic growth" in China.^[1]

The MIIT guidelines specifically proposed the establishment of an open-source community for humanoid robots, encouraging collaboration among developers around the world. This policy directive laid the groundwork for the creation of the National Local Joint Humanoid Robot Innovation Center and the OpenLoong open-source platform.^[2]

In December 2025, the MIIT took further steps by establishing a dedicated Humanoid Robot and Embodied Intelligence Standardization Technical Committee, and by March 2026, China released its first national standard system covering the humanoid robot industry's entire lifecycle.^[3]

Humanoid Robot (Shanghai) Co., Ltd.

Humanoid Robot (Shanghai) Co., Ltd. is a research and development institution established by leading Chinese industry enterprises with a registered capital of one billion RMB (approximately $140 million USD). In May 2024, it was designated by the MIIT as the National Local Joint Humanoid Robot Innovation Center, giving it a central role in China's humanoid robotics development strategy.^[4]

The center is situated in the Zhangjiang Robot Valley in Shanghai's Pudong New Area, a district that has become a major hub for robotics research and development in China. Jiang Lei serves as the chief scientist of the Innovation Center and has been the driving force behind the Qinglong project and the OpenLoong open-source initiative.^[5]

The Innovation Center collaborates with more than 300 robotics-related companies, including Agibot, Fourier Intelligence, Shanghai Electric, Huawei, Baidu, and Alibaba. This broad collaboration network reflects the project's goal of building an integrated open-source ecosystem rather than a single company's proprietary product.^[6]

What does the name "Qinglong" mean?

The name "Qinglong" (青龙) translates to "Azure Dragon" or "Green Dragon" in Chinese and refers to one of the Four Symbols of Chinese mythology, celestial creatures representing the four cardinal directions. The Azure Dragon represents the east and the season of spring. The robot was named Qinglong because it was unveiled in 2024, the Year of the Dragon in the Chinese zodiac.^[7]

Chief Scientist Jiang Lei announced a long-term naming strategy: the Innovation Center plans to introduce a new humanoid robot model annually, with each named after one of the Chinese zodiac animals. This approach is intended to build a humanoid robot innovation community with a distinctly Chinese cultural identity while maintaining a consistent annual development cadence.^[8] The theme also runs through the open-source releases, where the White Tiger (Baihu, 白虎), another of the Four Symbols, names one of the project's public datasets.^[46]

Development history

The Qinglong platform has advanced through several hardware revisions since its 2024 debut, with point releases arriving every few months and a flagship model unveiled each year.

Qinglong V1.0 / original Qinglong (July 2024)

The original Qinglong humanoid robot was unveiled at the World Artificial Intelligence Conference (WAIC) 2024 in Shanghai on July 4, 2024, marking the debut of what was described as China's first full-sized, general-purpose humanoid robot. The robot was presented alongside the launch of the OpenLoong open-source platform and the release of its related open-source technologies.^[9]

The first-generation Qinglong stood 185 cm tall and weighed 80 kg. It featured 43 active degrees of freedom, a maximum joint peak torque of 400 N*m, and computational power of 400 TOPS. At WAIC 2024, the robot demonstrated its dexterous hands by performing tasks such as picking up soft objects like bread without damaging them, showcasing the precision of its manipulation capabilities.^[10]

The robot's platform technology was organized around three critical modules:

• Walking and driving systems for bipedal locomotion
• Manipulation systems including dexterous humanoid hands
• Perception and control systems for environmental awareness and autonomous decision-making

The original Qinglong supported multimodal mobility, perception, interaction, and manipulation, with capabilities including rapid walking, agile obstacle avoidance, and stable movement on inclines and declines.^[11]

Qinglong V2.1 (July 2024)

Shortly after the initial unveiling, the Innovation Center released the Qinglong V2.1 model. A key milestone of this version was that it was assembled entirely from 100 percent Chinese-made components, demonstrating the maturity of China's domestic robotics supply chain. The V2.1 proved that a full-sized humanoid robot could be built without reliance on foreign-sourced parts for its mechanical structure, actuators, sensors, and computing hardware.^[12]

Qinglong V2.5 (January 2025)

The Qinglong V2.5 was unveiled in January 2025. This version incorporated improvements informed by the growing volume of training data collected through the Innovation Center's expanding network of training facilities. The OpenLoong community's open-source hardware release is built on the V2.5 design, which is published as the reference public-version baseline for developers.^[45]

The center has credited its accumulating data pool with speeding up development between versions. By its own account, training across its various humanoid robot models has yielded 5.26 million training-data entries. As one description of the effort put it, "by training various humanoid models here and accumulating 5.26 million training data entries, we have significantly boosted development efficiency."^[13]

Qinglong V3.0 (May 2025)

Qinglong V3.0 represents the most significant upgrade in the platform's history. Unveiled in May 2025 alongside the smaller Qinglong Lite variant, V3.0 introduced 60 degrees of freedom (up from 43), a fully modular architecture, and deep integration with the Gewu Zhizhi AI training platform.^[13][15]

At WAIC 2025 in Shanghai, on July 27, 2025, the Innovation Center showcased Qinglong V3.0 equipped with a new "time-space computing backpack" (时空算力背包) and presented an expanded product matrix spanning Qinglong Pro, Qinglong Lite, and Qinglong Wheel. According to the center, V3.0 pairs high-performance integrated joints with the backpack's edge compute to serve outdoor and mixed indoor-outdoor scenarios, with an initial focus on security patrol and inspection in industrial and logistics parks.^[43][44]

Qinglong Lite, Pro, and Wheel (the product matrix)

Alongside V3.0, the Innovation Center introduced a family of related models rather than a single machine. At WAIC 2025 it displayed the full Qinglong matrix, including Qinglong Pro, Qinglong Lite, and Qinglong Wheel, covering two technology routes: bipedal humanoids and wheeled-arm humanoids. The center framed the lineup through a "high-performance universal platform plus vertical-scenario application" strategy, intended to form a closed loop from research and development to commercial deployment across industrial, security, service, education, and smart-city settings.^[44]

Qinglong Lite is a smaller-form-factor variant of the platform. While detailed specifications for the Lite version have not been fully published as of early 2026, its introduction reflects the center's strategy of offering multiple form factors to address different use cases and research requirements.^[14] The broader OpenLoong ecosystem also lists Qinglong Mini, an even smaller robot aimed at education and lower-cost development.^[45]

Technical specifications

Physical design and mechanical system

Qinglong V3.0 is a full-sized humanoid robot standing 185 cm (6 ft 1 in) tall and weighing 85 kg (187 lb), slightly heavier than the original 80 kg model due to the addition of more joints and actuators. The robot features a highly biomimetic torso designed to replicate human body proportions and movement patterns.

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The V3.0's increase from 43 to 60 degrees of freedom represents roughly a 40 percent gain in articulation, enabling finer, more human-like movement across the body. The additional degrees of freedom are distributed across the torso, arms, and hands, providing greater dexterity for manipulation tasks.^[15]

The platform's academic documentation gives a precise breakdown of the base open-source body, which carries 31 active joints excluding the dexterous hands: 3 in the waist, 2 in the head, 7 in each arm (14 total), 3 at each hip (6 total), 1 at each knee (2 total), and 2 at each ankle (4 total). Combined with the six-active-degree dexterous hands, this yields the widely cited figure of 43 active degrees of freedom for the base platform, which V3.0 raises to 60.^[33]

Modular architecture

One of the defining features of Qinglong V3.0 is its modular design philosophy. The robot supports flexible combinations of three primary module types:

• Walking modules: Handle bipedal locomotion, balance control, and terrain adaptation
• Working modules: Manage dexterous manipulation, object grasping, and tool use
• Perception modules: Process sensor data for environmental awareness, obstacle detection, and navigation

This modularity allows researchers and developers to customize the robot's configuration for specific applications. For example, a research team focused on manipulation tasks could upgrade the working modules while keeping the standard walking and perception modules, reducing both cost and complexity.^[16]

Dexterous hands

Qinglong's dexterous hands are developed in collaboration with Inspire Robotics and LinkerBot. Each hand features multiple degrees of freedom, enabling the robot to perform precise grasping operations. At WAIC 2024, the robot demonstrated its ability to pick up delicate objects such as bread without crushing them, highlighting the force control capabilities of the hand system.^[17]

The hands combine with the robot's 400 N*m peak joint torque to provide both delicate manipulation and powerful gripping when needed, making the platform suitable for tasks ranging from assembly line work to household object handling.

Perception system

Qinglong V3.0 integrates a multi-sensor perception system for environmental awareness and autonomous navigation.

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The RoboSense E1R solid-state digital LiDAR is a particularly notable component. Built on RoboSense's automotive-grade E platform, the E1R provides a 120-degree by 90-degree field of view using a proprietary solid-state architecture. In February 2025, RoboSense delivered its one millionth LiDAR unit, with the milestone unit being an E1R destined for integration into the Qinglong robot.^[18]

The combination of LiDAR, depth cameras, and surround cameras supports centimeter-level environmental modeling. In simulated nuclear power plant inspection training, Qinglong demonstrated the ability to autonomously navigate complex pipe systems and avoid obstacles using this sensor suite.^[19]

Time-space computing backpack

A defining feature introduced with Qinglong V3.0 at WAIC 2025 is the "time-space computing backpack" (时空算力背包), a wearable compute-and-connectivity module carried on the robot's back. The backpack integrates a 5G communication link, BeiDou satellite positioning, and an Ascend AI compute module, which together strengthen the robot's spatial and temporal awareness for outdoor operation.^[44] The onboard compute lets the robot run several AI models at the edge and supports edge-to-cloud collaboration, so positioning, perception, and inference can continue away from a fixed indoor setup.^[43]

At the conference, the Innovation Center demonstrated the backpack-equipped robot receiving a package delivered outdoors by a drone, operating an elevator and delivering items to a designated floor, guiding visitors to their destinations, and conducting campus perimeter patrols with anomaly detection and reporting. The center also described a "BeiDou plus embodied-intelligence inspection" configuration aimed at security patrol and inspection in industrial and logistics parks, positioning the backpack as the bridge that carries the robot from indoor demonstrations to real outdoor duty.^[43]

Communication and control bus

Qinglong uses the EtherCAT (Ethernet for Control Automation Technology) bus system for joint-level communication and control. EtherCAT provides high real-time performance and reliability, enabling the robot's central controller to efficiently manage the movement of its joints with minimal latency. This industrial-grade communication protocol ensures precise synchronization across the robot's actuators during complex whole-body movements.^[20]

In the open-source Loong platform, this is implemented as a multi-master, dual EtherCAT configuration that drives 33 slave stations at a 2 kHz control frequency, with control-cycle jitter held within plus or minus 20 microseconds. The paper describing the platform highlights this "multi-master high-speed real-time communication mechanism" as one of the robot's core engineering contributions.^[33]

Computing platform

The robot's onboard computing system delivers 400 TOPS (Tera Operations Per Second) of processing power, enabling real-time artificial intelligence processing, sensor fusion, and autonomous decision-making. This level of computational power supports running large language models and vision-language models for task understanding and planning, while simultaneously processing data from the robot's LiDAR, cameras, and joint encoders.^[21]

According to the platform's technical paper, the 400 TOPS figure comes from a dual-core heterogeneous controller that pairs two 2.2 GHz CPUs with two 930 MHz GPU coprocessors, splitting real-time control and AI inference across dedicated hardware.^[33]

Gewu Zhizhi AI platform

Qinglong V3.0 runs on the Gewu Zhizhi (格物致知) system, a collaborative training platform for large AI models and robots. The name "Gewu Zhizhi" is a classical Chinese philosophical concept meaning "investigating things to acquire knowledge," drawn from the Confucian text Great Learning (大学). The platform has been fully open-sourced through the OpenLoong community.^[22]

Architecture and capabilities

The Gewu embodied intelligent simulation platform is built on the Unity RL Playground reinforcement learning framework. It supports full-process automation from simulation training to real hardware deployment and integrates advanced reinforcement learning frameworks with multimodal motion control technology.^[23]

Key capabilities of the Gewu platform include:

• Automated model adaptation: A proprietary general reinforcement learning framework allows developers to train algorithms across more than 100 globally mainstream robot models using a single set of code
• Sim-to-real transfer: Trained strategies can be migrated from simulation to physical robots
• Multi-robot compatibility: The platform supports training across diverse humanoid robot platforms, not just Qinglong
• Data pipeline: The platform collects and annotates training data in real time from physical robot operations

The platform provides a low-cost, high-efficiency proving ground for intelligent algorithms, shortening the loop from algorithmic innovation to industrial application.^[24]

Training data infrastructure

By early 2026, the Qinglong ecosystem had accumulated over 7.19 million data points through various simulation exercises and real-world robot operations. This data infrastructure is one of the key competitive advantages of the OpenLoong project, since the sheer volume of humanoid robot training data enables more rapid iteration and improvement of control algorithms.^[25]

OpenLoong open-source ecosystem

What is the difference between Qinglong and OpenLoong?

Qinglong and OpenLoong are related but not the same. Qinglong (青龙) is the physical humanoid robot: the full-size, general-purpose "public-version" machine (公版机, gongbanji) and its successive hardware revisions. OpenLoong is the open-source community and software platform that releases Qinglong's designs and code and coordinates the developer ecosystem around it. The OpenLoong project describes Qinglong as "the industry's first full-size open-source humanoid robot public version" and opens the full stack: hardware, the OpenLoong control framework (covering motion control, perception processing, and task scheduling), dynamics-control software, algorithms, and datasets, together with tools and community support.^[45]

The material published under the OpenLoong banner extends beyond the flagship robot. It includes Qinglong Mini (a smaller robot), NanoLoong (education and teaching tools), MindLoong (action foundation models), the Gewu (格物) simulation platform, and open datasets. This spread is what makes the distinction matter: buying or building a Qinglong means acquiring a robot, whereas joining OpenLoong means adopting a shared, publicly documented software and data stack that can run on many different robot bodies.^[45][46]

Overview

The OpenLoong open-source community was launched in June 2024 as what was described as the world's first open-source community platform dedicated to humanoid robots. The project is operated jointly by Humanoid Robot (Shanghai) Co., Ltd., the Shanghai Humanoid Robotics Manufacturing Innovation Center, and the OpenAtom Foundation.^[26]

The community's official website at openloong.org.cn serves as the central hub for documentation, source code, discussion forums, and developer resources. OpenLoong positions itself as the leading humanoid robot open-source community in China, dedicated to promoting the development of embodied intelligence technology and fostering communication and cooperation among developers.^[27]

Open-source hardware

The OpenLoong-Hardware repository (github.com/loongOpen/OpenLoong-Hardware) provides the hardware open-source content for the Qinglong humanoid robot, based on the V2.5 reference design. This includes:

• Main system component designs and drawings
• Core parts specifications and manufacturing documents
• Technical specification documents
• Perception system integration guides

All design files and drawings are released under open-source licenses, allowing free use, modification, and optimization. This level of hardware openness is unusual in the humanoid robotics industry, where most manufacturers keep their mechanical designs proprietary.^[28][45]

Open-source software

The OpenLoong-Dyn-Control repository (github.com/loongOpen/OpenLoong-Dyn-Control) provides the whole-body dynamics control software package for the Qinglong robot. The software framework is based on two primary control methods:

• MPC (Model Predictive Control): Plans optimal motion trajectories by predicting the robot's future states over a planning horizon
• WBC (Whole-Body Control): Coordinates the movement of all joints simultaneously to achieve desired whole-body behaviors while respecting physical constraints

The control framework runs on the MuJoCo physics simulation platform and includes three built-in motion demonstrations: walking, jumping, and blind obstacle stepping (navigating obstacles without visual guidance). The repository bundles several key dependencies, including the MuJoCo simulation engine, the Pinocchio dynamics library, Eigen for linear algebra, the Quill logging tool, the GLFW graphics library, and the JsonCpp parsing library.^[29]

Additional repositories under the loongOpen GitHub organization include:

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Datasets

Alongside hardware and control code, OpenLoong publishes training data for embodied AI. Its release named Baihu-VTouch (白虎) is described by the community as the first cross-embodiment vision-touch multimodal dataset, pairing visual and tactile signals recorded across different robot bodies to support manipulation research.^[46] Opening up real robot-operation data is one of the OpenLoong project's stated priorities, complementing the synthetic data generated through the Gewu simulation platform and feeding the broader training-data pool described above.

MuJoCo simulation

MuJoCo (Multi-Joint dynamics with Contact) serves as the primary simulation platform for the OpenLoong project. MuJoCo is an open-source physics engine originally developed by Emo Todorov and later acquired by Google DeepMind in October 2021, which released it as open-source software under the Apache 2.0 license.^[30]

The OpenLoong-Dyn-Control repository provides MuJoCo-compatible robot models of Qinglong (referred to as "AzureLoong" in the simulation environment), allowing researchers to test and develop control algorithms in simulation before deploying them on physical hardware. The simulation environment supports two primary demonstration modes:

• walk_wbc_joystick: Walking controlled through whole-body control with joystick input
• walk_mpc_wbc_joystick: Walking using combined MPC and WBC with joystick input

Third-party developers have also created secondary development projects based on the OpenLoong simulation models, using them for embodied intelligence training experiments.^[31]

Community funding and developer support

The Shanghai Innovation Center has established a 3 million yuan open fund to support community development, providing an average of 300,000 to 500,000 yuan (approximately $42,000 to $70,000 USD) per project. This financial support is intended to incentivize community innovation and attract developers to contribute to the OpenLoong ecosystem.^[32]

Academic research

The Qinglong platform has generated peer-reviewed academic publications. A notable paper, "Loong: An Open-Source Platform for Full-Size Universal Humanoid Robot Toward Better Practicality," was published in the MDPI journal Biomimetics in November 2025. The research, jointly supported by the National Key Research and Development Program of China (Grant 2024YFB4711100) and the National Natural Science Foundation of China (Grant 52205035), detailed the robot's biomimetic joint design, multi-level control architecture, and multi-master high-speed real-time communication mechanism.^[33]

The paper reports concrete engineering figures for the platform: a maximum joint torque of 396 Nm (about 400 Nm) at a peak torque density of 200 N*m/kg, arms weighing 5.6 kg each and dexterous hands weighing 550 g with a 5 kg load capacity per hand, a walking speed of 1 m/s and a running speed of 2 m/s, the ability to carry 10 kg under a stable gait, and roughly 40 minutes of continuous operation per charge. Experimental results demonstrated Qinglong's ability to traverse complex terrains including 13 cm steps and 20-degree slopes, as well as its competence in object manipulation and transportation tasks such as identifying switch positions, performing cleaning operations on heat sinks, and handling workpieces on industrial manufacturing production lines.^[34]

A companion paper, "DT-Loong: A Digital Twin Simulation Framework for Scalable Data Collection and Training of Humanoid Robots," described a digital twin system combining a high-fidelity simulation environment with a full-scale virtual replica of the Qinglong robot, using optical motion capture and human-to-humanoid motion re-targeting technologies for training embodied AI models.^[35]

Training infrastructure

National training facility network

Starting in October 2025, the Innovation Center expanded beyond its Shanghai headquarters by establishing subsidiary training facilities at eight locations across China. The purpose of these regional facilities is to collect training data specialized for each region's core industries. By early 2026, the network consisted of nine facilities total:^[36]

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The Shanghai Innovation Center serves as the network's leader, collecting the most data and handling the most experimental industrial applications. As of April 2026, a total of 395 humanoid robots (spanning 13 different models) have been deployed across the four completed training grounds, collecting 7.19 million data points through various simulation exercises.^[37]

Heterogeneous robot training

The Innovation Center's training facilities house not only Qinglong robots but also humanoid robots from other manufacturers, creating a heterogeneous training environment. The center established what it describes as the nation's first heterogeneous humanoid robot training facility in Zhangjiang in January 2025, and it currently houses 133 humanoid robots across 13 models at its Shanghai facility alone.^[38][44] This approach reflects the open-source philosophy of the project: by training multiple robot platforms in the same environment and sharing data across the OpenLoong community, the ecosystem benefits all participating companies and researchers.

Technology partners

Qinglong is designed as a collaborative platform integrating technologies from many of China's leading technology companies. Rather than being built entirely in-house, the robot assembles general-purpose open-source technologies from across the Chinese tech ecosystem.

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This multi-company collaboration model is central to the Qinglong project's identity. By drawing AI capabilities from Huawei, Baidu, and Alibaba, and sensor and actuator technologies from specialized robotics companies, Qinglong serves as an integration platform for China's broader robotics supply chain.^[39]

How does Qinglong compare to other humanoid robots?

Qinglong occupies a unique niche as a government-backed, open-source humanoid robot platform. Most comparable robots are proprietary systems developed by private companies.

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Qinglong's 60 degrees of freedom in V3.0 place it among the most articulated humanoid robots in the world. Its full-stack open-source approach (covering hardware, software, and simulation) distinguishes it from most competitors. The closest comparable open-source project in China is Tiangong, developed by the Beijing Humanoid Robot Innovation Center, which open-sourced its design in late 2024.^[40]

Applications and demonstrations

Qinglong has been demonstrated in several application scenarios:

• Industrial manufacturing: Handling workpieces on production lines, including loading and unloading components
• Security patrol and inspection: Conducting campus and perimeter patrols with anomaly detection and reporting, a primary target scenario for V3.0 with its computing backpack
• Outdoor logistics: Receiving a package delivered by a drone, operating an elevator, and delivering items to a designated floor, as shown at WAIC 2025
• Nuclear power plant inspection: Navigating complex pipe systems using centimeter-level environmental modeling from its LiDAR system
• Facility maintenance: Performing cleaning operations on heat sinks and identifying and activating switches
• General locomotion: Rapid walking, agile obstacle avoidance, stable uphill and downhill movement, jumping, and blind obstacle stepping
• Object manipulation: Delicate grasping of soft objects, tool use, and transportation of items up to 40 kg^[41][43]

Future development

The Innovation Center has outlined several directions for future development of the Qinglong platform and the broader OpenLoong ecosystem:

• Annual flagship releases: Following the Chinese zodiac naming convention, with each successive year bringing a new headline humanoid robot model, supported by more frequent point releases in between
• Expanded training infrastructure: Completion of the remaining five regional training facilities across China
• Larger data ecosystem: Continued growth of the training data pool beyond the current 7.19 million data points
• International collaboration: Expanding the OpenLoong community beyond China to attract global developers and researchers
• Industry-specific applications: Developing specialized configurations for healthcare, logistics, agriculture, and manufacturing through the modular architecture and the Pro/Lite/Wheel product matrix^[42]

The rapid development cadence of the Qinglong project reflects both the strength of the collaborative development model and the substantial government and institutional backing behind the initiative. The Innovation Center released V2.5 in January 2025 and V3.0 in May 2025, a compressed few-month cycle that Korean coverage summarized as "a new model every four months."^[39]

See also

• Humanoid robots
• Embodied AI
• MuJoCo
• Reinforcement learning
• ROS
• Boston Dynamics
• Tesla Optimus
• Unitree Robotics

References

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