摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于机器人的新研究是一份报告的主旨。根据NewsRx记者在中国人民日报兰州的新闻报道，研究表明：“及时、准确、准确地掌握磁驱动软机器人的动态变化信息是推动其向智能化、集成化、多功能系统发展的关键。然而，现有的磁驱动软机器人缺乏传感与驱动集成的主动功能。”本文介绍了分布式光纤光学技术与先进编程三维打印技术的集成，为我们的软机器人提供了独特的功能，如集成传感、预应力形状重建、可控变形和精密的磁导航，并利用改进的磁-机械耦合模型和先进的反演算法，实现了分布式光纤光学技术与先进的三维打印技术的集成，为软机器人提供了独特的功能，如集成传感、预应力形状重建、可控变形和精密的我们成功地实现了复杂结构的实时重建，如“V”形、“N”形和“M”形，以及夹具设计，其N可移动响应时间为34ms。此外，我们的机器人在磁导航和闭环变形控制方面表现出了熟练的能力，使它们成为受限或模糊环境下的理想操作。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating in Lanzhou, People's Repu blic of China, by NewsRx journalists, research stated, "Timely, accurate, and ra pid grasping of dynamic change information in magnetic actuation soft robots is essential for advancing their evolution toward intelligent, integrated, and mult ifunctional systems. However, existing magnetic-actuation soft robots lack effec tive functions for integrating sensing and actuation." The news reporters obtained a quote from the research from the Lanzhou Universit y of Technology, "Herein, we demonstrate the integration of distributed fiber op tics technology with advanced-programming 3D printing techniques. This integrati on provides our soft robots unique capabilities such as integrated sensing, prec ise shape reconstruction, controlled deformation, and sophisticated magnetic nav igation. By utilizing an improved magneto-mechanical coupling model and an advan ced inversion algorithm, we successfully achieved real-time reconstruction of co mplex structures, such as 'V', 'N', and 'M' shapes and gripper designs, with a n otable response time of 34 ms. Additionally, our robots demonstrate proficiency in magnetic navigation and closed-loop deformation control, making them ideal fo r operation in confined or obscured environments."
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