China's first brain-driven robot

On July 5, according to the official website of Tianjin University, scientists from Tianjin University used human stem cells to cultivate human-like brain organs and successfully connected them to robots through on-chip brain-computer interface technology.

Brain-on-a-chip technology, as a shining new star in the field of brain-computer interface, focuses on the deep integration of the brain's complex electrical signals with powerful external computing capabilities.

The technology consists of two core components: "chip" (precision electrode chip) and "brain" (brain-like tissue carefully cultivated in vitro). Through stem cell culture technology, scientists have built a functional "brain-like" ecosystem in a laboratory environment, simulating some of the intelligent characteristics of the biological brain.

It is particularly worth mentioning that this research has made breakthrough progress in two key areas. First, cell culture technology has achieved a leap from two-dimensional to three-dimensional, building a more three-dimensional and complex neural computing network for the brain-on-chip, greatly enhancing its information processing and decision-making capabilities.

Secondly, the clever integration of artificial intelligence algorithms has opened a new chapter in the exploration of hybrid intelligence, enabling the system to respond to external stimuli more intelligently and perform complex tasks such as autonomous navigation, obstacle avoidance, and precise grasping of objects.

In addition, the research team also deeply explored the positive role of physical fields in promoting the growth and development of human brain organoids, especially conducted an in-depth analysis of the precise regulation mechanism of low-intensity focused ultrasound technology, providing a more superior and intelligent cultivation environment for MetaBOC, the core "brain" of this on-chip intelligent brain interaction system.

This discovery not only deepens our understanding of brain development and regulation mechanisms, but also lays a solid scientific foundation for the widespread application of brain-computer interface technology in the future.