Department of Mechanical Engineering, Bogazici University, Istanbul, Turkey.
Soft Robot. 2020 Aug;7(4):521-533. doi: 10.1089/soro.2019.0083. Epub 2020 Mar 4.
Soft continuum robots are getting more popular in areas such as minimally invasive surgery, search and rescue, and inspection due to their inherent compliance and flexibility. However, most of the conventional continuum robots still lack the ability to significantly change size and length. Growth as a means of robotic locomotion is a novel actuation method that can be used to overcome this disadvantage. In this study, we introduce a growing pneumatic soft robot made up of pressurized thin-walled tubings that can move in three-dimensional space with an extension ratio only limited by manufacturing capabilities. Besides the ability to grow from the tip, this design provides active steering by controlling the speed of each tubing separately, controllable stiffness that can be changed during motion, and capability to carry a tool channel. We present models to estimate tip force and position and experimentally verify the force model and robot kinematics. Open-loop speed controller has an overall root mean square error of 2.69% for speeds between 20 and 300 mm/s. The position controller based on the kinematic model has a mean positioning error of 13.9 mm at 100 mm and 22.6 mm at 200 mm longitudinal distance. Robot can produce a tip force of 20.1 N at 150 kPa tubing pressure and reach a maximum speed of 1490 mm/s at 100 kPa. We also demonstrate the navigation capabilities of the robot both in open field and in constrained environments.
软连续体机器人由于其固有的柔顺性和灵活性,在微创手术、搜索和救援以及检查等领域越来越受欢迎。然而,大多数传统的连续体机器人仍然缺乏显著改变尺寸和长度的能力。生长作为一种机器人运动的方式是一种新颖的驱动方法,可以用来克服这个缺点。在这项研究中,我们介绍了一种由加压薄壁管材组成的可在三维空间中运动的生长气动软机器人,其延伸比仅受制造能力限制。除了从尖端生长的能力外,这种设计还通过分别控制每个管材的速度来提供主动转向、可在运动过程中改变的可控刚度以及携带工具通道的能力。我们提出了估计尖端力和位置的模型,并通过实验验证了力模型和机器人运动学。用于速度在 20 至 300 毫米/秒之间的开环速度控制器的总体均方根误差为 2.69%。基于运动学模型的位置控制器在 100 毫米的位置上的平均定位误差为 13.9 毫米,在 200 毫米的纵向距离上的平均定位误差为 22.6 毫米。机器人在 150 kPa 管压下可产生 20.1 N 的尖端力,在 100 kPa 下可达到 1490 毫米/秒的最大速度。我们还展示了机器人在开阔场地和受限环境中的导航能力。