Core Viewpoint - The window for developing general-purpose elderly care service robots has arrived, driven by advancements in AI and natural language processing technologies [2][4]. Company Overview - RobotGym, a smart healthcare company, recently secured a multi-million RMB angel round funding to enhance core technology, product engineering, and market expansion [3]. - The founding team has a strong background in robotics and AI, with experience from top institutions and companies in the field [3]. Product Lines - RobotGym has planned two product lines: UniGym, a multi-functional rehabilitation robot series, and Qijia, an elderly care robot series [4]. - The UniGym series targets home rehabilitation, supporting personalized training plans and real-time adjustments, with over a thousand units already produced and exported [5]. Data Strategy - The company emphasizes the importance of data accumulation for AI model development, aiming to create a hardware network for large-scale data collection [5]. - The Qijia series addresses immediate elderly care needs, focusing on mobility assistance, emotional companionship, and intelligent care [6]. Technological Features - The Qijia robots are designed to assist elderly individuals with mobility and provide emotional support through natural conversation [7]. - The robots are categorized into levels based on their capabilities, with L1-L2 handling low-risk tasks and L3-L5 managing more complex care functions [8]. Future Development - Achieving L3 and above autonomous care services may take around five years, prompting the company to adopt a hybrid model of AI and remote operation for immediate commercialization [8]. - Safety is a priority in the design of the robots, with features ensuring stability and reliability during operation [9]. Market Positioning - The Qijia product line has established pilot cooperation intentions with leading elderly care institutions and is part of Tencent's "Silver Technology Partner Program," with plans for standardized mass production by 2026 [9].