Large-Scale Vine Robots for Industrial Inspection: <b>Developing a New Framework to Overcome Limitations With Existing Inspection Methods</b>

Industrial facilities such as chemical factories, gas terminals, and power plants can contain kilometers of piping that require meticulous inspection for leaks and defects prior to operation. This is a costly and time-consuming process that sometimes requires dismantling sections of pipe. While current internal inspection devices such as borescopes, “pipe inspection gadgets,” rovers, and drones serve specific purposes, none can effectively maneuver through multiple bends with large diameter changes while pulling a tethered sensor. As a first step in addressing this need, we tackled the mobility challenge without a sensor, developing a 33-m-long, 1-m-wide, soft, inflatable vine robot for accessing hard-to-reach spaces in dangerous industrial facilities. We also investigated ways to mount sensors to large-scale vine robots, identified key challenges in doing so, and provide the framework for a potential solution. Our work addresses many modeling, design, and scaling challenges, including frictional properties, gravitational effects, pneumatic control, and portability. To validate the device’s capabilities, we conducted testing at a Bechtel facility in Houston, TX, USA. Our portable device successfully navigated a 24-m-long section of oil and gas piping, negotiating a 90° bend, a vertical section, a blockage, and an open chamber. Our work not only represents a substantial advancement in addressing current pipe navigation challenges but also establishes a new benchmark as the world’s largest soft robot, showcasing the effectiveness of pneumatic principles at large scales.

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Publication Details

Journal
IEEE Robotics & Automation Magazine
Published
2024-11-20
DOI
https://doi.org/10.1109/mra.2024.3487326
Citations
4
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.74
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article

Large-Scale Vine Robots for Industrial Inspection: Developing a New Framework to Overcome Limitations With Existing Inspection Methods

William E. Heap, Vedad Bassari, Nicholas D. Naclerio, Elvy B. Yao et al.
4 citations
IEEE Robotics & Automation Magazine
Soft Robotics and Applications
0.74
article

Large-Scale Vine Robots for Industrial Inspection: Developing a New Framework to Overcome Limitations With Existing Inspection Methods

William E. Heap, Vedad Bassari, Nicholas D. Naclerio, Elvy B. Yao, S.Y. Man, Elliot W. Hawkes, Steven Nguyen, N. Tripathi
article en
4 citations

Abstract

Industrial facilities such as chemical factories, gas terminals, and power plants can contain kilometers of piping that require meticulous inspection for leaks and defects prior to operation. This is a costly and time-consuming process that sometimes requires dismantling sections of pipe. While current internal inspection devices such as borescopes, “pipe inspection gadgets,” rovers, and drones serve specific purposes, none can effectively maneuver through multiple bends with large diameter changes while pulling a tethered sensor. As a first step in addressing this need, we tackled the mobility challenge without a sensor, developing a 33-m-long, 1-m-wide, soft, inflatable vine robot for accessing hard-to-reach spaces in dangerous industrial facilities. We also investigated ways to mount sensors to large-scale vine robots, identified key challenges in doing so, and provide the framework for a potential solution. Our work addresses many modeling, design, and scaling challenges, including frictional properties, gravitational effects, pneumatic control, and portability. To validate the device’s capabilities, we conducted testing at a Bechtel facility in Houston, TX, USA. Our portable device successfully navigated a 24-m-long section of oil and gas piping, negotiating a 90° bend, a vertical section, a blockage, and an open chamber. Our work not only represents a substantial advancement in addressing current pipe navigation challenges but also establishes a new benchmark as the world’s largest soft robot, showcasing the effectiveness of pneumatic principles at large scales.

IEEE Robotics & Automation MagazineVol. 32(3)
University of California, Santa Barbara (US), University of California San Diego (US), Carnegie Mellon University (US), Stanford University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Soft Robotics and Applications
0.74
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