In a move that marks a before and after in the development of industrial robotics, AGIBOT has reached 5,000 units produced of its humanoid robots with embedded intelligence. This figure reflects not only the Chinese company’s ability to scale, but also the growing adoption of functional robots in real work environments.
Three product lines for different uses
This productive achievement is spread across three lines of humanoids developed by AGIBOT, each with a specific focus:
- A Series (full size): 1,742 units oriented to heavy-duty tasks in complex industrial environments.
- X-Series (medium size): 1,846 units that combine mobility and intelligence for agile tasks.
- G-Series (optimized): 1,412 units designed for repetitive and high-precision flows.
This diversified approach allows AGIBOT to serve a wider range of industries and operational needs, from parts handling to technical inspections and intelligent logistics.
8 industrial sectors in transformation
AGIBOT robots are already present in 8 key sectors, including:
- Intelligent manufacturing
- Logistics classification
- Safety inspection
- Commercial Services
- Machinery maintenance
- Precision assembly
- Picking in warehouses
- Production in variable environments
Thanks to their adaptive design, these units are helping to resolve staffing bottlenecks and enable continuous operations with flexibility and efficiency.
Embedded intelligence and scalable production
Behind the success is AGIBOT’s proprietary system based on embedded intelligence, which enables the robots to interpret their environment, execute complex tasks and adapt to new scenarios quickly. The combination of specialized hardware and robust software has been the key to moving from the prototype phase to actual implementation.
Corporate adoption and global projection
Current customers include major players such as China Mobile, Longcheer Technology and Joyson Electronic, which are already integrating these solutions into their workflows. According to company spokespersons, this is just the starting point; the real challenge will be to keep these units operating constantly in real environments and not as mere demonstrations.
Source: AGIBOT via LinkedIn