09/07/2026
3Srobotics Completes Hundreds of Millions RMB Series B Financing, Accelerating the Commercialization of Embodied Intelligent Welding Robots
According to 36Kr, 3Srobotics, an embodied intelligent robotics company focused on the industrial manufacturing sector, has officially announced the completion of its Series B financing round, raising hundreds of millions of RMB.
The round was led by Shanghai Semiconductor Industry Investment Corporation and Jinqiao Fund, with continued participation from existing investors including Zero2IPO Ventures, New Alliance Capital, Zhongguan Dinghua, and Weiguang Venture Capital.
The newly raised funds will mainly be used for the continuous iteration and upgrade of its embodied intelligent welding AI brain and autonomous motion-control “cerebellum” system, expansion of its self-owned intelligent manufacturing factory capacity, strengthening of its R&D and market service teams, and accelerating large-scale deployment of its products across multiple industries nationwide.
Founded in 2020, 3Srobotics obtained National High-Tech Enterprise certification in 2023 and was recognized as a Shanghai Specialized and Innovative SME and Shanghai Intelligent Robot Benchmark Enterprise in 2024.
The completion of this financing round marks a new stage of rapid scale development for 3Srobotics, which is leveraging its three-level full-stack self-developed system — “Autonomous Brain + Autonomous Cerebellum + Self-developed Hardware Mass Production” — to enter the embodied intelligence industrial manufacturing market with industrial-grade intelligent robots featuring scalable production capability and autonomous evolution.
Three Generations of Product Evolution Target Welding Demand, Creating the “Intelligent Welder”
At its founding, 3Srobotics mainly focused on the R&D, manufacturing, and sales of general industrial robots.
With business development, founder Wang Dezhao gradually formed the view that robots would evolve from general-purpose applications toward deeper intelligentization in vertical scenarios.
“Therefore, our positioning is to deeply integrate AI algorithms with robotic hardware and fully unleash the value of intelligent robots in specific industrial scenarios.”
Among numerous industrial applications, 3Srobotics chose welding.
Welding is a fundamental process involved in almost all industrial manufacturing. However, due to its dangerous working environment, high labor intensity, and high technical requirements, the shortage of skilled workers has become increasingly severe.
Wang Dezhao stated that China currently has approximately tens of millions of registered welders, with an average age exceeding 45 years old.
As younger generations are increasingly reluctant to pursue welding careers, the shortage of welding engineers is expected to reach several million by 2025.
At the same time, manufacturing companies continue to demand higher welding quality, efficiency, and consistency.
The intersection of these two challenges has created enormous market opportunities for welding robots.
According to industry estimates, the intelligent welding robot market is expected to reach hundreds of billions of RMB over the next decade.
“Based on our confidence in the future of the welding market, as well as the customer resources and application data accumulated in this field, we decided to first focus deeply on welding as our core vertical scenario,” said Wang Dezhao.
Overcoming the Limitations of Traditional Welding Automation with Embodied Intelligent Robots
Most traditional welding automation solutions provided by system integrators require pre-programming, manual teaching, or human intervention.
These solutions can only address standardized applications within limited scenarios. They are unable to deeply understand complex industrial conditions, autonomously handle non-standard and complicated manufacturing environments, or continuously improve through self-learning.
As a result, traditional solutions often face limitations such as poor adaptability, high dependence on customization, limited scalability, and lack of continuous evolution capability, making it difficult to truly solve the core challenges faced by modern manufacturing.
In comparison, 3Srobotics’ intelligent welding robots are capable of learning from the operational data of experienced welders.
Through AI algorithms, real-time 3D reconstruction, and robotic path planning, the robots can autonomously perceive and understand the physical environment, make real-time decisions, and dynamically adjust welding processes.
This enables them to better adapt to complex working conditions and non-standard workpieces while shortening product delivery cycles and reducing customers’ return-on-investment periods.
Wang Dezhao stated that currently, a single 3Srobotics welding robot can replace an average of 1.5 to 2 welders within the same working period, with an estimated return-on-investment cycle of approximately 1 to 1.5 years.
Third-Generation Welding Robots: Developing an Autonomous “Brain” and “Cerebellum” for Welding Intelligence
3Srobotics’ third-generation welding robots are equipped with a self-developed embodied intelligent “brain” and autonomous “cerebellum” motion-control system.
The company has developed a dedicated embodied intelligent AI model specifically for welding applications, which is fully trained based on real industrial working conditions.
The “brain” is an AI algorithm based on a multimodal large-scale model architecture.
By training on tens of millions of frontline welding operation data samples, comprehensive material and process knowledge databases, and complex irregular weld datasets, the AI system enables robots to operate like experienced welders.
The system can identify the three-dimensional structure, material characteristics, and surface information of workpieces, and autonomously generate welding strategies — determining “where to weld” and “how to weld.”
The technology supports key manufacturing scenarios including:
Steel structures
Construction machinery
Shipbuilding
Rail transportation
Automotive components
especially for non-standard, multi-variety, and small-batch production environments.
Autonomous AI Brain: Industrial Process Understanding and Decision-Making Capability
The autonomous AI brain provides genuine industrial process cognition and autonomous decision-making capabilities.
Based on 3Srobotics’ self-developed high-precision 3D vision system, the AI model can dynamically match and adjust critical welding parameters according to:
Material type
Plate thickness
Groove shape
On-site working conditions
including:
Welding current
Voltage
Travel speed
Oscillation width
Other key process parameters
At the same time, the AI model supports closed-loop learning from production-line operation data, continuously optimizing welding logic.
This breaks through the limitations of traditional equipment, including fixed processes, heavy dependence on human experience, and limited adaptability across different application scenarios.
Autonomous “Cerebellum”: Ensuring Precise Ex*****on and Stable Welding Performance
The autonomous “cerebellum” — 3Srobotics’ self-developed real-time motion-control system — originates from years of experience accumulated by its subsidiary HIT Modern in industrial robot body development.
It serves as the key technical foundation ensuring that robotic decisions can be executed accurately and consistently.
Unlike many existing solutions that rely on third-party general motion-control systems, which often suffer from response delays, insufficient trajectory tracking accuracy, and poor multi-axis coordination, 3Srobotics’ autonomous motion-control system directly executes the complete process decisions generated by the AI brain.
Facing extremely complex conditions such as:
Irregular curved surfaces
Large-scale components
Narrow working spaces
Workpiece deformation
the autonomous control system can perform real-time trajectory correction and dynamic error compensation.
This ensures:
Uniform and stable weld formation
Reduced risk of incomplete welding
Prevention of welding defects such as missed welds or burn-through
The system is also compatible with multiple types of welding robots, including fixed-position robots and mobile platforms such as tracked robots.
This enables:
“One intelligent brain driving multiple robotic platforms, achieving flexible autonomous operation across various scenarios.”
