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Reading: CMU Team Develops Robots to Enhance Pipeline Integrity
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Robotics

CMU Team Develops Robots to Enhance Pipeline Integrity

Highlights

  • CMU designs robots to inspect, repair gas pipelines.

  • Robots can map and carry heavy repair materials.

  • Choset aims for commercial adoption later this year.

NEWSLINKER
Last updated: 10 February, 2024 - 4:37 pm 4:37 pm
NEWSLINKER 2 years ago
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Carnegie Mellon University’s Robotics Institute research group has embarked on an innovative project to design robots capable of inspecting and mending natural gas pipelines. The initiative, spearheaded by computer science professor Howie Choset, targets the commercial launch of this robotic technology within the year.

Contents
Robotic Inspection and Repair in Confined EnvironmentsDetailed Mapping and Potential for Autonomous Damage AssessmentModular Design for Customizable Solutions

Robotic Inspection and Repair in Confined Environments

The team’s advanced robots are engineered to navigate and evaluate pipelines’ interiors, applying specialized coatings to repair compromised sections. Within the United States, an extensive network of pipelines delivers natural gas to millions of residential and commercial customers. These pipelines, often inaccessible and unmapped, pose significant challenges for maintenance and repair. Choset warns that without proactive intervention, the deterioration of this infrastructure could lead to more frequent disruptions.

Choset’s group, known for its expertise in snake robots, caught the attention of the Department of Energy (DoE), which supports the project under the Rapid Encapsulation of Pipelines Avoiding Intensive Replacement program. The team opted to create a robust crawler robot instead of a snake robot, focusing on the robots’ strength to transport significant payloads for repair processes.

Detailed Mapping and Potential for Autonomous Damage Assessment

The CMU robot, equipped with three wheels to support the weight of repair materials and batteries, can survey up to nine miles of pipeline in eight hours and repair nearly two miles within the same timeframe. The researchers developed a high-resolution optical sensor for these confined spaces, outperforming initial accuracy expectations. Choset and his team are also collecting data to develop a machine-learning algorithm that could autonomously identify damage in the future.

Modular Design for Customizable Solutions

Emphasizing modularity, the CMU team designed their robot with interchangeable parts to tailor solutions for specific needs and expedite development. The robot’s adaptability promises to close the loop between users’ experiences and designers’ plans to optimize performance.

Despite facing challenges due to shifts in DoE program management affecting repair work sponsorship, Choset is determined to continue this essential project. He is gathering resources to advance the technology and anticipates a market debut through JP Robotics.

This project demonstrates a significant stride in robotics, with applications extending beyond pipeline maintenance to other confined environments such as disaster response and medical inspection.

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