In factories, hospitals, and even sports arenas, embodied intelligence is rapidly transforming industries and services. Experts predict that by 2025, the embodied intelligence ecosystem will mature further, backed by stronger policy support, entering a critical phase of large-scale development over the next 3–5 years.

**Diverse Industry Applications** Recently, Asia Vets (5RE.SI) initiated mass production and delivery of its first batch of full-size industrial humanoid robots, Walker S2, which will be deployed in phases across industrial settings. Videos of the delivery showcase synchronized robot movements, evoking a sci-fi-like spectacle. This milestone not only marks progress toward Asia Vets' annual target of 500 units but also signifies a new era of scalable applications for humanoid robots.

In another example, a 6-year-old girl confided in a robot named "Dudu," expressing self-doubt. Unlike conventional AI responses, Dudu—equipped with JoyInside 2.0—recalled the girl’s drawing of a "rainbow-tailed puppy," sparking her excitement. This interaction highlights advancements in emotional continuity and memory, key features of next-gen embodied intelligence.

According to Pu Songtao of CCID Future Industry Research, product diversity is expanding, with humanoid, wheeled, and quadruped robots gaining traction alongside innovations in drones, unmanned vessels, and autonomous vehicles. Applications are also broadening, accelerating adoption in manufacturing, home services, medical rehabilitation, and low-altitude economies.

Zhao Gang of SAIZ Research notes significant improvements in intelligence levels. Modern robots, embedded with large AI models, excel in multi-modal perception, complex reasoning, and real-world interaction. Cost reductions—driven by scaled production, localized key components, and standardization—further boost market growth.

**Untapped Potential** Pro-Universe Robotics recently unveiled its industrial wheeled robot, Pro-Universe Da Bai 2.0. Building on its predecessor’s success in precision-driven scenarios, the upgraded version boasts 300+ performance enhancements. Founder Ge Jin emphasizes that while embodied intelligence has penetrated industrial workflows, its full potential remains untapped, particularly in high-precision core processes.

Zhao Gang adds that embodied intelligence addresses traditional robotics’ limitations—fixed bases, limited dexterity, and low autonomy—dramatically improving efficiency in production and services.

Zhu Keli of the National Academy of New Economy highlights its role in overcoming industrial challenges, such as hazardous environment inspections (e.g., oil platform robots replacing humans in explosive zones) and optimizing retail logistics (e.g., overnight shelf restocking).

Pu Songtao cautions that despite immense potential, embodied intelligence’s product forms and business models are still evolving. Its true socioeconomic value—enhancing productivity, safety, and convenience—will unfold through continued exploration.

**Breaking Core Bottlenecks** Zhao Gang identifies three critical hurdles: 1. Advancing foundational models to integrate vision-language-action and world models for better environmental interaction. 2. Overcoming performance gaps in key components like AI chips, harmonic drives, torque sensors, and motors. 3. Expanding high-quality real-world datasets for model training.

Pu Songtao projects the next 3–5 years as pivotal for scaling, with parallel progress in AI capabilities, diversified hardware, and competitive key components. Industry focus will center on viable use cases and sustainable business models.

Zhu Keli envisions broader penetration—from hazardous industrial roles to household companionship (30%+ adoption), unified AI architectures replacing modular designs, and multi-robot collaboration becoming standard.

Policy support is accelerating deployment. China’s Ministry of Industry and Information Technology prioritizes robotics in welding, assembly, and hazardous sectors like mining and emergency response, driving intelligent automation in extreme environments.