The era has once again come to another threshold of the revolution of productive forces. As an important tool of new quality productivity, robots have been widely used in industry, commerce, medical and other fields.
2711-T5A20L1 At the FA-AO conference, not only the welding application with an annual installed capacity of more than 500+ units in a large steel structure plant was displayed, but also the cases in the fields of metal cutting, small household appliances, substrate loading and unloading. This shows that collaborative robots are being widely used in various industries.
All along, FaO Robot has been practicing the concept of “popularizer of collaborative robots” and has become the pioneer and forerunner of tool level application of collaborative robots in various industries.
01 More instrumental innovation
Product hardware and software upgrade is one of the key points of this 2711-T5A20L1 FAO-AO robot conference. As a popularizer of collaborative robots, FAO has been following the path of making collaborative robots stronger, easier to use, easier to integrate, and more affordable to create more value for customers.
The upgrade of FR series V6.0 is the best embodiment of the technology iteration and strength integration of FAO-AO. This series of products not only achieve the whole machine size is smaller, modular comprehensive upgrade, and through the international authority to obtain more complete product certification. The continuous upgrade and optimization of the software version makes it easier for users to use the product, helping users to complete their work efficiently and quickly.
Ease of use is another feature of collaborative robots. The natural language control system developed by the AIRLab Lab based on large model training truly enables the cooperative robot to automatically generate code instructions to achieve natural language control, further liberating the user’s hands and making the robot’s operation easier.
Simply put, the technology allows the user to just issue a command 2711-T5A20L1 like “help me get a glass of water” through the voice, and the robot can accept the command after “hearing”, and automatically decompose the action to complete the task.
Behind this technology is FaO’s in-depth application exploration of artificial intelligence and machine learning technology, which can enable collaborative robots to have stronger autonomous learning and decision-making capabilities, thus opening a new era of intelligent collaborative robots.