Sunday的ACT-1分享！未使用任何机器人本体数据训练的VLA，解决超长时程任务

Core Viewpoint - The article discusses the advancements in embodied intelligence, particularly focusing on the company Sunday and its developments in robotic technology, emphasizing the importance of data collection and the innovative approaches to overcome existing limitations in the robotics field [1][6][29]. Group 1: Technological Advancements - Sunday has made significant progress in demonstrating ultra-long-range home tasks with its ACT-1 robot, showcasing capabilities in mobile manipulation without relying on remote operation data [5][20]. - The company has developed a "Skill Capture Glove" that aligns the geometric structure and sensor layout of human hands with robotic hands, allowing for effective data transfer and training [11][12]. - The ACT-1 model can perform complex tasks such as folding socks and operating a home espresso machine, highlighting advancements in dexterity and manipulation [26][27]. Group 2: Data Collection and Challenges - The robotics industry faces a critical data bottleneck, lacking a comprehensive real-world operational data corpus comparable to that of large language models [6][7]. - Sunday aims to bridge the "embodiment mismatch" by ensuring that robots can learn from human data, leveraging the vast amount of daily activity data from the global population [7][12]. - The company has accumulated approximately 10 million examples in its data library by the end of 2025, with 2,000 data collection units actively gathering data [8]. Group 3: Innovative Solutions - Sunday has developed a "Skill Transform" system that aligns raw observational data, effectively eliminating human-specific features and generating high-fidelity training sets for robots [12]. - The company emphasizes a full-stack approach to data collection, processing, and model training, significantly enhancing efficiency in data utilization [29]. - The design of the Memo robot incorporates compliant control and passive stability, ensuring safety and adaptability in various environments [32][33].