Scientists Develop Mind-Controlled Robot Dog

Researchers at Xi'an Jiaotong University have made strides in the field of robotics by developing a method to control a robot dog using brain signals. Led by Professor Xu Guanghua, this innovative approach leverages non-invasive brain-computer interface (BCI) technology, allowing users to command the robot dog simply by thinking.

"Mind-controlled robot dogs? They're real now at China's Xi'an Jiaotong University. Just think 'forward' — and the robot dog moves," stated China Xinhua Sci-Tech, highlighting the breakthrough.

The BCI technology captures neural activity through specialized sensors, enabling precise control of mechanical devices. When a user intends to move forward, their brain generates specific EEG signals. The system decodes these signals, translates them into commands, and directs the robot dog to act accordingly.

This system currently recognizes 11 basic commands, such as moving forward, backward, and turning, boasting a recognition accuracy exceeding 95%. There is a slight delay of about one second between the user's thought and the robot's action.

While invasive BCI technologies offer high precision, they require surgical procedures, posing risks such as infection and signal degradation. In contrast, Xu's non-invasive method is considered safer, more economical, and user-friendly, despite challenges in achieving fine control.

The research team employs a hybrid model where users set high-level intentions, while the robot's intelligent systems manage complex tasks like navigation and obstacle avoidance. Xu emphasized the importance of integrating BCI with advancements in artificial intelligence and autonomous navigation for future developments.

He also noted that this technology could significantly assist individuals with disabilities. The recent ZGC Forum in Beijing showcased various BCI innovations, underscoring the growing interest and development in this field.