傅利叶发布脑机接口与具身智能深度融合战略

Core Insights - Fourier is exploring the deep integration of brain-machine interfaces (BMIs) with embodied intelligence, launching a rehabilitation solution called "Brain-Machine Embodied Rehabilitation Port" aimed at wellness scenarios [1] - The company has been a pioneer in the rehabilitation robotics industry in China, focusing on wellness scenarios as a key application area for embodied intelligence [1] - Traditional rehabilitation methods face challenges such as low patient engagement and difficulty in quantifying training effectiveness, with existing devices primarily focusing on peripheral execution rather than central brain involvement [1] Group 1 - The integration of BMIs allows rehabilitation treatments to operate on a closed-loop system based on "brain intention," marking a significant advancement in rehabilitation technology [1] - Fourier has been exploring the combination of BMIs with exoskeleton robots since 2017, achieving concept validation but facing engineering challenges that limited clinical application [1][2] - Recent advancements in BMI hardware have led to lighter, modular devices with improved interference resistance and accuracy, expanding signal acquisition methods beyond traditional EEG to include near-infrared and multi-channel ultrasound [2] Group 2 - The use of AI algorithms enables real-time classification and interpretation of complex brain signals, facilitating precise intention recognition and driving robotic lower limb training [2] - Fourier has established over 300 rehabilitation departments across the country, targeting various levels of medical institutions and wellness communities [2] - A collaborative initiative called the "Brain-Machine Embodied Data Engine Joint Innovation Plan" has been launched, involving multiple academic and research institutions to support the integration of BMIs with embodied intelligent systems [3]