机器人开始抢“主持人”饭碗！上海张江，傅利叶宣布下个十年规划，要做“以人为本的具身智能”

Core Viewpoint - The company Fourier aims to focus on human-centered embodied intelligence in the next decade, emphasizing the importance of human-robot interaction and the development of robots that can understand and cooperate with humans in complex environments [2][10]. Group 1: Company Background and Development - Fourier was founded in 2015 in Zhangjiang, starting with rehabilitation robots, with its first product being an exoskeleton robot [5]. - The company has developed full-sized humanoid robots GR-1 and GR-2, and recently launched a smaller humanoid robot, Fourier N1, which includes an open-source resource package and basic operational software code [8]. Group 2: Future Directions and Focus Areas - The future direction will focus on rehabilitation scenarios, enhancing the naturalness and friendliness of human-robot interaction, and improving the robots' autonomous execution efficiency [9]. - The company aims to integrate interaction experience with motion functions and provide stable, open hardware support [9]. Group 3: Achievements and Collaborations - Fourier has entered over 3,000 hospitals globally and has developed over 30 rehabilitation robot products, establishing a professional team for operation and medical support [11][13]. - The company has launched the Galileo system for quantifying human movement and rehabilitation, with deployments in various hospitals and the first overseas delivery in Malaysia [15][16]. Group 4: Technological Innovations and Partnerships - Fourier collaborates with NVIDIA to explore imitation learning and generalization training, deploying NVIDIA's humanoid robot open base model on its robots [21]. - The company has partnered with SenseTime to enhance language interaction capabilities in robots and with Apple's robotics team to validate gesture generation and non-verbal communication [23]. Group 5: Philosophical Foundation - The name "Fourier" is inspired by the mathematician Fourier, whose transformation theory suggests that complex signals can be decomposed into simple sine waves, reflecting the company's mission to decode the complexities of life through robotics [25][26].