首页 /研究 /Mechanically-Inflatable Bio-Inspired Locomotion for Robotic Pipeline Inspection
LOCOMOTION

Mechanically-Inflatable Bio-Inspired Locomotion for Robotic Pipeline Inspection

Mostafa A. Atalla, Fabian Trauzettel, Sebastiaan P. van Gelder, Paul Breedveld, Michaël Wiertlewski, Aimée Sakes

发表年份
2024
引用次数
3

摘要

Pipelines, vital for fluid transport, pose an important yet challenging inspection task, particularly in small, flexible biological systems, that robots have yet to master. In this study, we explored the development of an innovative robot inspired by the ovipositor of parasitic wasps to navigate and inspect pipelines. The robot features a flexible locomotion system that adapts to different tube sizes and shapes through a mechanical inflation technique. The flexible locomotion system employs a reciprocating motion, in which groups of three sliders extend and retract in a cyclic fashion. In a proof-of-principle experiment, the robot locomotion efficiency demonstrated positive linear correlation (r = 0.6434) with the diameter ratio (ratio of robot diameter to tube diameter). The robot showcased a remarkable ability to traverse tubes of different sizes, shapes and payloads with an average of (70%) locomotion efficiency across all testing conditions, at varying diameter ratios (0.7 ~ 1.5). Furthermore, the mechanical inflation mechanism displayed substantial load-carrying capacity, producing considerable holding force of (13 N), equivalent to carrying a payload of (≈5.8 Kg) inclusive the robot weight. This soft robotic system shows promise for inspection and navigation within tubular confined spaces, particularly in scenarios requiring adaptability to different tube shapes, sizes, and load-carrying capacities. The design of this system serves as a foundation for a new class of pipeline inspection robots that exhibit versatility across various pipeline environments, potentially including biological systems.

关键词

RobotPayload (computing)InflatablePipeline (software)TraverseSimulationComputer scienceEngineeringArtificial intelligenceMechanical engineering

相关论文

查看 LOCOMOTION 分类全部论文