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一种结合藤蔓植物生长适应性与协调控制系统的仿生软体机器人。

A Bioinspired Soft Robot Combining the Growth Adaptability of Vine Plants with a Coordinated Control System.

作者信息

Li Pengchun, Zhang Yongchang, Zhang Guangyu, Zhou Dekai, Li Longqiu

机构信息

State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.

出版信息

Research (Wash D C). 2021 Oct 22;2021:9843859. doi: 10.34133/2021/9843859. eCollection 2021.

Abstract

Tip-extending soft robots, taking flexible film or rubber as body material and fluid pressure as input power, exhibit excellent advantages in constrained and cluttered environments for detection and manipulation. However, existing soft continuum robots are of great challenges in achieving multiple, mutually independent, and on-demand active steering over a long distance without precise steering control. In this paper, we introduce a vine-like soft robot made up of a pressurized thin-walled vessel integrated with the high controllability of a control system with multiple degrees of freedom in three dimensions. Moreover, steering and kinematic models to relate the steering angle and robot length to the location of the robot tip are provided, and a dynamic finite element model for analyzing the motion of the spatial consecutive steering is established. We demonstrate the abilities of disinfection of the robot moving in a long and tortuous pipeline and detection in a multi-obstacle constrained environment. It is established that the robot exhibits great advantages in active consecutive steering over a long distance, high controllability in completing more complex path planning, and significant ability of carrying operational tools for ventilation pipeline disinfection and multi-obstacle detection. The bionic soft robot shows great promise for use in environment sensing, target detecting, and equipment servicing.

摘要

端部延伸型软体机器人以柔性薄膜或橡胶为主体材料,以流体压力为输入动力,在受限和杂乱环境中的检测与操作方面展现出卓越优势。然而,现有的软体连续体机器人在无需精确转向控制的情况下,实现长距离的多个相互独立且按需的主动转向面临巨大挑战。在本文中,我们介绍了一种藤蔓状软体机器人,它由一个加压薄壁容器构成,并集成了具有三维多自由度高可控性的控制系统。此外,还提供了将转向角度和机器人长度与机器人端部位置相关联的转向和运动学模型,并建立了用于分析空间连续转向运动的动态有限元模型。我们展示了该机器人在长而曲折的管道中移动进行消毒以及在多障碍物受限环境中进行检测的能力。结果表明,该机器人在长距离主动连续转向、完成更复杂路径规划时的高可控性以及携带用于通风管道消毒和多障碍物检测的操作工具的显著能力方面展现出巨大优势。这种仿生软体机器人在环境感知、目标检测和设备维护方面具有广阔的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c62/8557356/0a3199363e6b/RESEARCH2021-9843859.001.jpg

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