The co-founder and CEO of Covariant, Peter Chen, introduced RFM-1, which aims to "give robots human-like reasoning abilities." Covariant hopes to use this model to achieve the next stage of robotic technology, beyond just performing basic repetitive tasks.

RFM-1's delivery is benefited from the extensive data collected from Covariant's Brain AI project, which has been used with customer consent to build the ChatGPT for robots.

Chen said, "The vision of RFM-1 is to empower billions of robots in the future."

"We at Covariant have successfully deployed a large number of robots in warehouses, but that is not the limit of our goals. We truly want to empower robots in manufacturing, food processing, recycling, agriculture, service industry, and even people's homes."

Will human job functions be affected?

Human-like reasoning brings risks to human functions. As artificial intelligence develops, significant challenges will be faced in the future. If the scale of robots is to be expanded to play the listed human job roles, companies like Covariant will need to engage in discussions on how to enhance human labor skills and prepare for different futures.

Chen attempts to alleviate concerns about the meaning of "human-like reasoning," in this case referring to the ability of robots to process real-time information and select the best course of action for relevant tasks.

The CEO stated that his company has not yet reached the stage of their ultimate goal.

"We do appreciate a lot of work being done in the more general field of robot hardware," explained Chen.

"By combining the intelligence inflection point with the hardware inflection point, we will see further explosions in robot applications, but many of them have not been fully realized, especially in terms of hardware. It is difficult to go beyond stage videos. Going beyond staged videos is very challenging. How many people have personally interacted with humanoid robots? This reflects the maturity of the technology."