How to control a robot without touching it: Technology showcased in China
Translated from Romanian, summarized and contextualized by DistantNews.
At a glance
- A Chinese company has developed a non-invasive headset using EEG technology and AI to control robots with brain signals.
- The system translates brain activity into commands for robots, demonstrated by manipulating objects like a glass and an apple.
- Unlike Neuralink, this technology avoids surgery, using scalp-based signals analyzed by AI, and is primarily aimed at medical applications for individuals with mobility loss.
Robots may soon be controlled without physical contact, keyboards, or voice commands, thanks to a new technology presented in China. At the World Artificial Intelligence Conference (WAIC) in Shanghai, a Chinese company unveiled a system that uses a non-invasive headset and artificial intelligence to translate brain signals into commands for robots.
The technology relies on an EEG (electroencephalogram) headset that records the brain's electrical activity. AI algorithms then analyze these signals and convert them into executable commands for the robot. During demonstrations at WAIC, a participant successfully controlled a robotic arm to manipulate objects like a glass and an apple, showcasing the system's capability without traditional interfaces.
BrainCo, the company behind the system, states it not only controls robots but also gathers data on user command patterns. This data can enhance AI algorithm training in a field where quality datasets are scarce. Nyx He, Senior Vice President at BrainCo, noted that while robot autonomy has advanced significantly, the next crucial step is improving robots' understanding of human intentions.
This brain-computer interface differs from Elon Musk's Neuralink, which requires surgical implantation of a chip directly into the brain for precise neuron signal recording. BrainCo's solution uses a scalp-worn headset, capturing surface electrical activity. While these signals are less detailed than those from an implant, AI algorithms interpret them for robot commands. A key advantage is the avoidance of surgical risks associated with brain implants.
Beyond demonstrations, BrainCo envisions this technology primarily for medical use. It could assist individuals who have lost mobility due to strokes, spinal cord injuries, or neurological diseases, potentially enabling them to control prosthetic limbs or other devices.
The robot industry has already made significant progress in terms of their autonomy. The next step is for robots to better understand the commands and intentions of the people they work with.
Originally published by Adevฤrul in Romanian. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.