Etron's Subsidiary Egis Partners with Australian Company to Develop Brain-Computer Interface Technology
Egis Technology, a subsidiary of Etron Technology, announced a partnership with Australian BCI developer BraineuLink to develop brain-computer interface technology. The related control systems will be exhibited at COMPUTEX, marking a significant step in AI and robotics.
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- 📰 Published: May 12, 2026 at 22:02
- 🔍 Collected: May 12, 2026 at 22:31 (29 min after Published)
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Central News Agency
(Central News Agency reporter Chang Chien-Chung, Taipei, May 12) Egis Technology, a subsidiary of Etron Technology, today announced a partnership with Australian brain-computer interface technology developer BraineuLink to jointly develop brain-computer interface technology, exploring application scenarios for human, machine, and space collaboration. Related control systems will be exhibited at COMPUTEX Taipei.
Etron held a media briefing, where Chairman Lu Chao-Chun stated that the Etron Group, including Egis, eYs3D Microelectronics, and eEver Technology, will focus on edge intelligence in this year's COMPUTEX computer exhibition, showcasing privacy-aware mobile embodied robots, 3D vision AI applications, high-speed transmission AI PC applications, and edge intelligence dynamic random access memory (DRAM).
Egis pointed out that at the computer exhibition, it will showcase the brain-computer interface control robot system developed in collaboration with BraineuLink, an autonomous bionic robot system equipped with OpenClaw, and enterprise AI smart assistants.
Among them, the brain-computer interface control robot system developed by Egis and BraineuLink achieves hands-free, intuitive human-machine interaction and has been integrated into robot dog control.
In terms of bionic robots, it integrates neural sensing logic, 360-degree spatial modeling, and electronic nose odor monitoring technology, enabling fully automatic patrol and unmanned autonomous resupply.
Regarding AI smart assistants, it ensures conversational privacy through edge execution and combines emotion recognition technology to provide AI assistant digital avatars with personalized interactive capabilities.
Egis stated that its robot decision-making brain, action sensing, and identity security technologies have currently achieved a 16% penetration rate in medical centers across Taiwan and are promoting the TAYLAN assisted care system with US care institutions to capture the North American eldercare market. It is also collaborating with ICT service providers to enter the smart retail and medical fields in Japan.
eYs3D Microelectronics stated that it will showcase a smart mobile platform at the computer exhibition, integrating modular autonomous mobile robot systems, cloud platforms, and AWS edge computing architecture, demonstrating its 3D sensing and edge AI technologies, extending to smart mobile devices, cloud platforms, and AI service integration solutions, which can be applied in hospitality services, logistics handling, inspection, and other fields.
eEver Technology stated that it will showcase a USB PD 3.2 control platform at the computer exhibition, comprehensively covering host, device, and cable capabilities, helping customers build more efficient and scalable USB-C system architectures that can meet the power supply needs of AI computers, high-end laptops, and mobile workstations. (Edited by Lin Chia-Hsien) 1150512
(Central News Agency reporter Chang Chien-Chung, Taipei, May 12) Egis Technology, a subsidiary of Etron Technology, today announced a partnership with Australian brain-computer interface technology developer BraineuLink to jointly develop brain-computer interface technology, exploring application scenarios for human, machine, and space collaboration. Related control systems will be exhibited at COMPUTEX Taipei.
Etron held a media briefing, where Chairman Lu Chao-Chun stated that the Etron Group, including Egis, eYs3D Microelectronics, and eEver Technology, will focus on edge intelligence in this year's COMPUTEX computer exhibition, showcasing privacy-aware mobile embodied robots, 3D vision AI applications, high-speed transmission AI PC applications, and edge intelligence dynamic random access memory (DRAM).
Egis pointed out that at the computer exhibition, it will showcase the brain-computer interface control robot system developed in collaboration with BraineuLink, an autonomous bionic robot system equipped with OpenClaw, and enterprise AI smart assistants.
Among them, the brain-computer interface control robot system developed by Egis and BraineuLink achieves hands-free, intuitive human-machine interaction and has been integrated into robot dog control.
In terms of bionic robots, it integrates neural sensing logic, 360-degree spatial modeling, and electronic nose odor monitoring technology, enabling fully automatic patrol and unmanned autonomous resupply.
Regarding AI smart assistants, it ensures conversational privacy through edge execution and combines emotion recognition technology to provide AI assistant digital avatars with personalized interactive capabilities.
Egis stated that its robot decision-making brain, action sensing, and identity security technologies have currently achieved a 16% penetration rate in medical centers across Taiwan and are promoting the TAYLAN assisted care system with US care institutions to capture the North American eldercare market. It is also collaborating with ICT service providers to enter the smart retail and medical fields in Japan.
eYs3D Microelectronics stated that it will showcase a smart mobile platform at the computer exhibition, integrating modular autonomous mobile robot systems, cloud platforms, and AWS edge computing architecture, demonstrating its 3D sensing and edge AI technologies, extending to smart mobile devices, cloud platforms, and AI service integration solutions, which can be applied in hospitality services, logistics handling, inspection, and other fields.
eEver Technology stated that it will showcase a USB PD 3.2 control platform at the computer exhibition, comprehensively covering host, device, and cable capabilities, helping customers build more efficient and scalable USB-C system architectures that can meet the power supply needs of AI computers, high-end laptops, and mobile workstations. (Edited by Lin Chia-Hsien) 1150512