Core Insights - Fourier Exploration aims to integrate embodied intelligence technology with brain-machine interface (BMI) technology to enhance rehabilitation efficiency and improve patient quality of life [1][4] - The CEO, Gu Jie, announced plans to scale the introduction of BMI technology in robotic rehabilitation training within the next 1-2 years, emphasizing the importance of recognizing patient intent during training [1][3] Group 1: Technology Integration - The combination of BMI and robotic systems allows for real-time recognition of patient intentions, enabling robots to provide appropriate assistance during rehabilitation [3][4] - Traditional rehabilitation methods often lead to passive training, while the new approach encourages active participation from patients, resulting in better rehabilitation outcomes [3][4] Group 2: Development Challenges - There is a lack of large-scale datasets and necessary hardware and software infrastructure for BMI and embodied intelligence technologies globally [1][6] - The company has initiated a collaborative project with several academic institutions to enhance interdisciplinary cooperation and support the exploration of BMI and embodied intelligence integration [6] Group 3: Technological Advancements - Recent advancements in BMI hardware have led to lighter, modular devices, and the transition from single EEG systems to multi-modal signal acquisition methods has improved accuracy and reliability [5][6] - The development of large models has transformed the processing of EEG signals, allowing for more effective classification and interpretation of complex brain signals [5]

转自：证券时报 人民财讯1月28日电，1月28日，傅利叶创始人兼CEO顾捷在第二届傅利叶具身智能生态大会暨张江机器 人开发者先锋大会上表示，将在未来1—2年内明确规模化落地引入脑机接口技术的机器人康复训 练，"当患者在训练过程中产生了运动意图，但肌肉水平又无法完成时，机器人能够通过脑机识别意 图，在意识形成的当下提供恰当的助力，就完成了一次从中枢到外周的完整闭环训练。" （原标题：傅利叶：未来1—2年将脑机接口引入机器人康复训练，提升治疗效率） ...