Robotics Pioneer: Every Family Will Have a Robot by 2030
In 2025, at the World Robotics Conference (WRC2025), Jietech released the DOBOT Atom second-generation robot arm. Jietech's early success was due to its innovative four-axis mechanical arm, which quickly occupied the market. Subsequently, as market demand changed, Jietech shifted its strategic focus towards higher-value-added six-axis collaborative robots, officially starting human-like robot development in 2023.
Jietech's decision to develop human-like robots is based on what considerations? How will the ecosystem of human-like robots evolve in the future? With these questions in mind, an interview with Jietech's chief scientist, Lang Xuelin, was conducted by Securities Times during WRC2025.
From Industrial Robots to Human-Like Robots
Securities Times: When did Jietech start developing human-like robots? Why did you consider developing human-like robots? What are the distinctive features and highlights of Jietech's human-like robots?
Lang Xuelin: We didn't start early, but we chose the right path. Jietech officially started developing human-like robots in 2023, but we had been preparing the groundwork earlier - from controller to driver modules, self-research capabilities were established for human-like robots.
The reason is that we saw AI models emerging, bringing breakthroughs in control, cognition, and interaction abilities, making "human-like" no longer just a surface-level imitation, but rather the embodiment of human behavior.
Jietech's Atmo series emphasizes "mass production and deployment," with closed-loop control systems, lightweight joint modules, and adaptation to VLA and other large models for multimodal perception and task generalization capabilities, enabling it not only to walk but also to work.
Securities Times: What considerations guided Jietech's development of human-like robots? Industrial robot companies have advantages and disadvantages in developing human-like robots. What are they?
Lang Xuelin: From industrial robots to human-like robots, it's not a change in direction but an evolution towards more complex systems. Jietech's core considerations for entering the human-like robot field are "from task tools to intelligent bodies." Industrial robots excel at precision and repetition, while human-like robots need to solve higher-dimensional problems such as perception, cognition, and generalization.
Jietech's advantages include control systems, driver modules, and accumulated technical capabilities, with "controllability" and "cost-effectiveness"; understanding the industrial scene deeply allows us to quickly find suitable locations for human-like tasks.
However, there are also challenges. Industrial robots emphasize "rigid constraints," while human-like robots stress "flexibility and generalization." This requires us to upgrade our algorithm architecture, perception models, and motion planning comprehensively. We're not just trying to make a robot that looks like humans; we believe embodied intelligence will become the high-level form of human-machine cooperation.
Securities Times: As Jietech has been in this field for ten years, you have a deeper understanding of the market than other companies. What do you think about the ecosystem of human-like robots in the future? How will your company approach it?
Lang Xuelin: Human-like robots won't be just a product but an ecosystem-level system. We believe the development path for this ecosystem will probably repeat that of smartphones. First, hardware companies drive industry heat, followed by "brains" and "applications" dominating the market, ultimately forming an open collaborative ecosystem.
Jietech's strategy is "hardware-software-integrated, universal architecture, scenario-based," which means establishing a solid hardware foundation (modules/controllers/executors) while connecting with mainstream AI "brains" and co-refining solutions with real-world customers. We hope not only to release robots but also to build the "human-like robot + industry" ecosystem, becoming the leading technical and commercial driver of China's embodied intelligence.
Robot Technology Will Multiply Human Ability
Securities Times: From a broader perspective, how do you think robotics technology will drive social progress? What is your company's long-term goal?
Lang Xuelin: Robotics technology isn't about replacing humans; it's about multiplying human ability. From a macro perspective, robotics technology is the key force driving society into the "smart cooperation era." It not only solves demographic aging and labor structure changes but also frees humans from repetitive, dangerous, and tedious work to focus on creation and care. We hope robots can become the core component of "new production forces," like electricity and the internet, becoming the foundation infrastructure - ubiquitous, accessible, and continuously evolving.
Securities Times: As you believe that robotics technology will become a necessary item in family life, how will your company promote the widespread adoption and expansion of robot applications in families?
Lang Xuelin: Entering families is not about "can" or "cannot," but about "when" they can be as simple as household appliances. We believe that by 2030, every family will have a robot. The key is not just technology but user acceptance and service system completeness. We're pushing forward with a strategy of "module standardization + open brains + scenario co-creation." The next three years are the breakthrough period.
Securities Times: Facing the current difficulties that most companies' human-like robots cannot land, what progress has Jietech made?
Lang Xuelin: Driven by embodied intelligence scenarios, we've already achieved a breakthrough in landing embodied intelligence robots with global renowned universities and enterprise clients. These landed clients include Tencent RoboticsX Lab, Shanghai Artificial Intelligence Institute, DAMO Academy, and industrial giants like Mazak, ASKA, Aurotek, and AI Korea. As the only company that has "stepped out of the manufacturing site," we don't make "conceptual showpieces" or compare who can do it like humans; we focus on which robot can move faster to its "post."