A novel hybrid adhesion method and autonomous locomotion mechanism for wall-climbing robots

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Robotics and Autonomous Systems Pub Date : 2024-08-14 DOI:10.1016/j.robot.2024.104779
Mikhail S. Tovarnov , Nikita V. Bykov
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Abstract

In this paper we propose a novel adhesion method for the tracked wall-climbing robot. The method is based on the use of the tape, which the robot affixes to the wall during its movement. The adhesive side of the tape adheres to the wall, while the non-adhesive side allows for the robot's movement. The robot attaches to the tape using spikes located on the surface of its tracks. We developed the experimental prototype with a tracked locomotion mechanism weighing 1.2 kg, measuring 212 mm × 294 mm × 131 mm, and capable of carrying a payload of 2 kg. The battery life of the prototype is 3.5 h in standby mode and 1.8 h in moving mode. The prototype is controlled remotely through video transmission in manual mode and can move on both vertical and horizontal surfaces, and transition between them. The prototype has demonstrated the ability to move along a vertical surface, transition from a horizontal to a vertical surface, and recover from an unstable position in the case of a capsize. We used basic components and 3D printing in the manufacturing process. This suggests that we can make the prototype better by using different materials and components.

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爬壁机器人的新型混合粘附方法和自主运动机制
在本文中,我们为履带式爬墙机器人提出了一种新颖的粘附方法。该方法基于胶带的使用,机器人在运动过程中将胶带粘贴在墙上。胶带有粘性的一面粘在墙上,无粘性的一面允许机器人移动。机器人利用其履带表面的钉子固定在胶带上。我们开发的实验原型具有履带式运动机构,重 1.2 千克,尺寸为 212 毫米 × 294 毫米 × 131 毫米,能够承载 2 千克的有效载荷。原型机的电池寿命在待机模式下为 3.5 小时,在移动模式下为 1.8 小时。原型机在手动模式下通过视频传输进行远程控制,可以在垂直和水平表面上移动,并在两者之间转换。该原型已证明能够沿垂直表面移动,从水平表面过渡到垂直表面,并在翻船时从不稳定地位置恢复。我们在制造过程中使用了基本组件和三维打印技术。这表明,我们可以通过使用不同的材料和部件使原型更好。
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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