基于被动控制的平面欠驱动软机械臂全身抓取策略

H. Chu, B. Caasenbrood, Mahboubeh Keyvanara, I. A. Kuling, H. Nijmeijer
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引用次数: 0

摘要

软机器人是机器人技术的一个分支,旨在通过探索所谓的软材料来模拟自然。通过利用嵌入的柔软度,可以在不需要高级控制器的情况下实现不同程度的灵巧抓取。然而,当与自然(和现代刚性机器人)相比时,相当水平的灵活性和物体操纵仍然缺乏。例如,在考虑大象的鼻子时,研究了全身操作和感觉反馈,以实现同时,稳健和自适应抓取。在这项工作中,我们将闭环控制引入到软机器人抓取中。采用基于被动控制的方法,实现了平面细长柔性机械臂的全身抓取。我们的方法也解释了这些系统中存在的驱动不足,并相应地调整了抓取策略。此外,我们还探索了在没有速度测量的情况下注入阻尼,以增强对不希望的振荡运动的衰减。通过仿真和实验对闭环系统的性能进行了评价。
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Full-body Grasping Strategy for Planar Underactuated Soft Manipulators using Passivity-based Control
Soft robotics is a branch of robotics that aims to emulate nature by exploring so-called soft materials. By utilizing the embedded softness, various degrees of dexterity in grasping can be achieved without the need for advanced controllers. However, when compared to nature (and modern rigid robots), comparable levels of dexterity and object manipulation are still lacking. For example, when considering the elephant's trunk, whole-body manipulation and sensory feedback are explored to achieve simultaneous, robust, and adaptive grasping. In this work, we incorporate closed-loop control into soft robotic grasping. Using passivity-based control, we achieve whole-body grasping for planar, slender, soft manipulators with torque actuation. Our approach also accounts for the underactuation present in these systems and adapts the grasping strategy accordingly. Furthermore, we explore damping injection without velocity measurements to enhance the attenuation of undesired oscillatory motion. The performance of the closed-loop system is evaluated through simulation and experiments.
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