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Astribot Suite:面向多样化真实环境、聚焦全身操作的框架
具身智能之心· 2025-08-09 00:48
点击下方 卡片 ,关注" 具身智能之心 "公众号 >> 点击进入→ 具身智能之心 技术交流群 更多干货,欢迎加入国内首个具身智能全栈学习社区 : 具身智能之心知识星球 (戳我) , 这里包含所有你想要的。 摘要 构建通用智能机器人一直是机器人研究的核心目标之一。一个颇具前景的路径是 模仿人类的进化轨迹 :通过与环境持续互动不断学习,在初始阶段通过模仿人类 行为,加速技能的学习与迁移。实现这一目标面临三大核心挑战:(1)设计具备高度类人操作能力且安全可靠的机器人硬件;(2)开发直观且可扩展的 全身遥操 作系统 ,以采集高质量人类演示数据;(3)构建能够从人类演示中学习的 全身视觉-运动策略 的高效算法。 为统一解决以上挑战,星尘智能提出 Astribot Suite ——一套面向多样化真实环境、聚焦 全身操作 的机器人学习套件,致力于让机器人掌握广泛的日常任务。 团队在需要全身协调、高灵巧性与高动态响应能力的多个任务中,验证了Astribot Suite的有效性,模型完成任务平均成功率 80%,最高达 100%。结果表明,星尘智 能在 具身本体设计、遥操作交互和学习模型 上的有机整合,为通用全身操作机器人迈向现 ...
星尘智能Astribot Suite技术解读:让机器人帮你做家务的全身控制解决方案 | Jinqiu Spotlight
锦秋集· 2025-08-07 15:02
Core Viewpoint - Jinqiu Capital led the A-round financing for Stardust Intelligence in 2024, focusing on long-term investment in groundbreaking AI startups with innovative business models [1]. Group 1: Company Overview - Stardust Intelligence was founded in 2022 by members from Tencent Robotics X, with its name derived from the Latin phrase "Ad astra per aspera," meaning "through difficulties to the stars" [4]. - The company has developed a humanoid robot named Astribot S1, designed to assist with household tasks such as taking out the trash and organizing shoes [4][6]. Group 2: Technological Highlights - The design of Astribot S1 addresses three core challenges in creating a truly general-purpose intelligent robot: body design, data collection, and learning algorithms [6][8]. - The robot features a humanoid structure with seven degrees of freedom in its arms, a height of approximately 1.7 meters, and the ability to lift up to 5 kilograms [10]. - The innovative "cable-driven" technology allows for high-resolution force control and enhanced load capacity compared to traditional rigid structures [11]. Group 3: Learning and Operation Systems - Stardust Intelligence has developed a low-cost, intuitive remote operation system that allows users to teach the robot using common VR devices, with a total cost of under $300 [13]. - The DuoCore-WB learning algorithm enables the robot to learn from human demonstrations, focusing on end-effector space rather than joint angles, improving precision and efficiency [19][22]. - The system operates with a low latency of 20ms for command response, ensuring smooth interaction between the operator and the robot [13][15]. Group 4: Performance and Applications - The robot has been tested on six common household tasks, achieving an average success rate of around 80%, with some tasks reaching 100% success [29][43]. - Specific tasks include delivering drinks, storing cat food, and cleaning up toys, showcasing the robot's ability to perform complex, coordinated actions in various environments [32][36][42]. Group 5: Future Prospects - The Astribot Suite integrates innovative hardware, intuitive control systems, and efficient learning algorithms, marking significant progress toward general-purpose intelligent robots [44]. - Future plans include further advancements in hardware, human-robot interaction, and model algorithms to enhance real-world applications of robotic technology [47].