External Steering of Vine Robots via Magnetic Actuation.

Nam Gyun Kim, Nikita J Greenidge, Joshua Davy, Shinwoo Park, James H Chandler, Jee-Hwan Ryu, Pietro Valdastri
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Abstract

This article explores the concept of external magnetic control for vine robots to enable their high curvature steering and navigation for use in endoluminal applications. Vine robots, inspired by natural growth and locomotion strategies, present unique shape adaptation capabilities that allow passive deformation around obstacles. However, without additional steering mechanisms, they lack the ability to actively select the desired direction of growth. The principles of magnetically steered growing robots are discussed, and experimental results showcase the effectiveness of the proposed magnetic actuation approach. We present a 25-mm-diameter vine robot with an integrated magnetic tip capsule, including 6 degrees of freedom (DOF) localization system and camera, and demonstrate a minimum bending radius of 3.85 cm with an internal pressure of 30 kPa. Furthermore, we evaluate the robot's ability to form tight curvature through complex navigation tasks, with magnetic actuation allowing for extended free-space navigation without buckling. The suspension of the magnetic tip was also validated using the 6 DOF localization system to ensure that the shear-free nature of vine robots was preserved. Additionally, by exploiting the magnetic wrench at the tip, we showcase preliminary results of vine retraction. The findings contribute to the development of controllable vine robots for endoluminal applications, providing high tip force and shear-free navigation.

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通过磁力驱动实现藤蔓机器人的外部转向
本文探讨了藤蔓机器人外磁控制的概念,以实现其在腔内应用中的高曲率转向和导航。藤蔓机器人受自然生长和运动策略的启发,具有独特的形状适应能力,可在障碍物周围被动变形。然而,如果没有额外的转向机制,它们就无法主动选择所需的生长方向。我们讨论了磁转向生长机器人的原理,实验结果展示了所建议的磁驱动方法的有效性。我们展示了一个直径为 25 毫米的藤蔓机器人,该机器人集成了磁性尖端胶囊,包括 6 自由度 (DOF) 定位系统和摄像头,并证明在 30 千帕的内部压力下,其最小弯曲半径为 3.85 厘米。此外,我们还评估了该机器人通过复杂的导航任务形成紧密曲率的能力,其磁性驱动允许在无弯曲的情况下进行长时间的自由空间导航。我们还使用 6 DOF 定位系统对磁性尖端的悬挂进行了验证,以确保保持藤蔓机器人的无剪切特性。此外,通过利用顶端的磁力扳手,我们展示了藤蔓回缩的初步结果。这些发现有助于开发用于腔内应用的可控藤蔓机器人,提供高尖端力和无剪切力导航。
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