Korean brain-controlled robotic hand makes Beijing debut
Dynamic Solution has unveiled a brain-computer interface robotic hand at the World Robot Conference 2026 in Beijing, demonstrating how electrical activity measured from the scalp can be converted into commands for dexterous robotic movement without surgical implants.
The South Korean technology company is presenting the system during the five-day conference that opened on August 19 at the Beiren Etrong International Exhibition and Convention Center in Beijing E-Town. The opening day has been designated “Release Day”, focusing on new products, technological achievements and collaborative initiatives. More than 300 companies and research organisations are participating, with more than 2,000 exhibits expected.
Dynamic Solution’s robotic hand combines brain-computer interface technology with individually actuated fingers capable of performing multiple gripping movements. The system analyses electroencephalography, or EEG, signals produced when a user imagines moving a hand and converts recognised patterns into commands that drive the robotic device.
The approach is non-invasive because brain activity is detected by electrodes positioned on the scalp rather than by surgically implanted interfaces. That distinction could prove important commercially because non-invasive systems avoid the medical risks and regulatory complexities associated with implanting electrodes in the brain, although they generally face greater challenges in obtaining highly precise signals through the skull and surrounding tissue.
The robotic hand is approximately the size of an adult male hand and uses separate actuators for individual fingers. Contact areas incorporate anti-slip material intended to improve the stability of grasping. Dynamic Solution is seeking to combine such mechanical capabilities with artificial intelligence and neural-signal interpretation, placing the product within the rapidly developing field of physical AI, where intelligent software directly controls machines operating in the physical world.
The company has also acquired a non-exclusive licence for X-HAND and remote wearable robot technologies developed by the Electronics and Telecommunications Research Institute. The underlying platform incorporates wearable and haptic technologies designed to reproduce movement and tactile feedback, providing a potential route towards systems in which information flows both from the user to the robot and back from the robotic device.
Dynamic Solution, formerly known as Neofect, has spent years developing rehabilitation and wearable technologies. Its intellectual-property portfolio includes technologies covering sensing, movement assistance, upper-limb rehabilitation robots, finger-motion measurement and wearable robotic hands. The company says it holds 114 related patents in domestic and overseas markets.
The Beijing demonstration also comes as South Korea expands national investment and institutional support for brain-computer interfaces, humanoid systems and physical AI. The Ministry of Science and ICT formally launched the K-Moonshot programme this year with 12 national technology missions extending to 2035, including separate programmes for BCI, humanoids and physical AI. The initiative aims to use artificial intelligence to accelerate scientific research and double research productivity by 2030.
That government programme is broader than Dynamic Solution’s non-invasive robotic-hand project and includes work on implanted BCI technologies. Its significance for companies developing EEG-based systems lies mainly in the research ecosystem being built around neuroscience, robotics, artificial intelligence and commercialisation rather than direct state sponsorship of a single product.
Dynamic Solution has been positioning itself within that ecosystem through partnerships with hospitals, research institutes and BCI specialists. It signed an agreement with Ybrain this year covering brain-signal precision control, AI robotics, BCI commercialisation and joint participation in national research projects. The companies have identified applications that could ultimately include assistive technology for people with severe motor disabilities, wearable robots and industrial systems.
The company is also involved in collaborative work linking South Korean and German researchers, including Seoul National University Bundang Hospital and Charité in Berlin, as it investigates the clinical potential of brain-controlled robotic technologies.
Commercial viability will depend heavily on performance that cannot be judged from a product demonstration alone. Dynamic Solution has not publicly released detailed benchmark data covering the X-HAND system’s EEG decoding accuracy, command latency, error rates or reliability across large groups of users. Those measurements will be crucial for determining whether a brain-controlled hand can progress from controlled demonstrations to dependable everyday use.
Non-invasive BCI systems also have to cope with electrical noise, variations between users, movement artefacts and changing signal patterns over time. Machine-learning models can improve interpretation, but practical assistive devices must respond quickly while avoiding unintended commands.
The potential applications nevertheless extend well beyond exhibition demonstrations. A reliable interface capable of translating motor intention into robotic movement could eventually assist people with paralysis or severe mobility impairment, while related technologies could be adapted for rehabilitation, teleoperation and human-machine interaction.
The South Korean technology company is presenting the system during the five-day conference that opened on August 19 at the Beiren Etrong International Exhibition and Convention Center in Beijing E-Town. The opening day has been designated “Release Day”, focusing on new products, technological achievements and collaborative initiatives. More than 300 companies and research organisations are participating, with more than 2,000 exhibits expected.
Dynamic Solution’s robotic hand combines brain-computer interface technology with individually actuated fingers capable of performing multiple gripping movements. The system analyses electroencephalography, or EEG, signals produced when a user imagines moving a hand and converts recognised patterns into commands that drive the robotic device.
The approach is non-invasive because brain activity is detected by electrodes positioned on the scalp rather than by surgically implanted interfaces. That distinction could prove important commercially because non-invasive systems avoid the medical risks and regulatory complexities associated with implanting electrodes in the brain, although they generally face greater challenges in obtaining highly precise signals through the skull and surrounding tissue.
The robotic hand is approximately the size of an adult male hand and uses separate actuators for individual fingers. Contact areas incorporate anti-slip material intended to improve the stability of grasping. Dynamic Solution is seeking to combine such mechanical capabilities with artificial intelligence and neural-signal interpretation, placing the product within the rapidly developing field of physical AI, where intelligent software directly controls machines operating in the physical world.
The company has also acquired a non-exclusive licence for X-HAND and remote wearable robot technologies developed by the Electronics and Telecommunications Research Institute. The underlying platform incorporates wearable and haptic technologies designed to reproduce movement and tactile feedback, providing a potential route towards systems in which information flows both from the user to the robot and back from the robotic device.
Dynamic Solution, formerly known as Neofect, has spent years developing rehabilitation and wearable technologies. Its intellectual-property portfolio includes technologies covering sensing, movement assistance, upper-limb rehabilitation robots, finger-motion measurement and wearable robotic hands. The company says it holds 114 related patents in domestic and overseas markets.
The Beijing demonstration also comes as South Korea expands national investment and institutional support for brain-computer interfaces, humanoid systems and physical AI. The Ministry of Science and ICT formally launched the K-Moonshot programme this year with 12 national technology missions extending to 2035, including separate programmes for BCI, humanoids and physical AI. The initiative aims to use artificial intelligence to accelerate scientific research and double research productivity by 2030.
That government programme is broader than Dynamic Solution’s non-invasive robotic-hand project and includes work on implanted BCI technologies. Its significance for companies developing EEG-based systems lies mainly in the research ecosystem being built around neuroscience, robotics, artificial intelligence and commercialisation rather than direct state sponsorship of a single product.
Dynamic Solution has been positioning itself within that ecosystem through partnerships with hospitals, research institutes and BCI specialists. It signed an agreement with Ybrain this year covering brain-signal precision control, AI robotics, BCI commercialisation and joint participation in national research projects. The companies have identified applications that could ultimately include assistive technology for people with severe motor disabilities, wearable robots and industrial systems.
The company is also involved in collaborative work linking South Korean and German researchers, including Seoul National University Bundang Hospital and Charité in Berlin, as it investigates the clinical potential of brain-controlled robotic technologies.
Commercial viability will depend heavily on performance that cannot be judged from a product demonstration alone. Dynamic Solution has not publicly released detailed benchmark data covering the X-HAND system’s EEG decoding accuracy, command latency, error rates or reliability across large groups of users. Those measurements will be crucial for determining whether a brain-controlled hand can progress from controlled demonstrations to dependable everyday use.
Non-invasive BCI systems also have to cope with electrical noise, variations between users, movement artefacts and changing signal patterns over time. Machine-learning models can improve interpretation, but practical assistive devices must respond quickly while avoiding unintended commands.
The potential applications nevertheless extend well beyond exhibition demonstrations. A reliable interface capable of translating motor intention into robotic movement could eventually assist people with paralysis or severe mobility impairment, while related technologies could be adapted for rehabilitation, teleoperation and human-machine interaction.