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]

Core Viewpoint - Fourier plans to introduce brain-computer interface technology into robotic rehabilitation training within the next 1-2 years to enhance treatment efficiency [1] Group 1: Company Developments - The founder and CEO of Fourier, Gu Jie, announced the intention to scale the implementation of brain-computer interface technology in rehabilitation robots [1] - The technology aims to assist patients who have the intention to move but are unable to do so at the muscular level, creating a complete feedback loop from the central nervous system to the periphery [1]