Core Insights - The article discusses the evolution of collaborative robots, particularly focusing on the development of an AI-based intelligent sewing system by Professor Kazuhiro Kosuge, which aims to address labor shortages and automation challenges in the global garment manufacturing industry [2][3][24]. Group 1: Technological Advancements - The intelligent sewing system utilizes several breakthrough technologies, including a fixture-free 3D sewing technique that automates the sewing of three-dimensional garment components while maintaining fabric smoothness [3][4]. - The system features real-time fabric edge detection through innovative roller mechanisms and laser optical sensors, allowing precise control of sewing direction [3][4]. - It is highly programmable and adaptable to different styles, sizes, and fabrics, making it suitable for small-batch, multi-variety flexible production without extensive mold or fixture changes [3][4]. Group 2: Market Context and Challenges - The global sewing automation market is projected to remain at single-digit automation rates by 2025, primarily due to traditional automation systems relying heavily on rigid fixtures, which limit flexibility [8][9]. - The automotive seat cover market is identified as a key entry point for the sewing robot technology, with an expected market size nearing $3 billion by 2028, presenting a significant opportunity for Kosuge's innovations [9][10]. Group 3: Business Model and Future Outlook - Kosuge emphasizes a shift towards a business model that allows for "pay-per-use" services rather than outright equipment sales, reducing the financial burden on manufacturers [19][20]. - The system is designed to empower workers rather than replace them, enabling them to manage multiple sewing processes with minimal training [20][37]. - Despite the promising technology, challenges remain in terms of market acceptance and the need for further funding and talent acquisition to bring the first products to market within 1-2 years [22][24].