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Autori principali: Staniaszek, Michal, Flatscher, Tobit, Rowell, Joseph, Niu, Hanlin, Liu, Wenxing, You, Yang, Skilton, Robert, Fallon, Maurice, Hawes, Nick
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2404.12785
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author Staniaszek, Michal
Flatscher, Tobit
Rowell, Joseph
Niu, Hanlin
Liu, Wenxing
You, Yang
Skilton, Robert
Fallon, Maurice
Hawes, Nick
author_facet Staniaszek, Michal
Flatscher, Tobit
Rowell, Joseph
Niu, Hanlin
Liu, Wenxing
You, Yang
Skilton, Robert
Fallon, Maurice
Hawes, Nick
contents We give an overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years AutoInspect has been deployed in a variety of environments, including at a mine, a chemical plant, a mock oil rig, decommissioned nuclear power plants, and a fusion reactor for durations ranging from hours to weeks. The system combines robust mapping and localisation with graph-based autonomous navigation, mission execution, and scheduling to achieve a complete autonomous inspection system. The time from arrival at a new site to autonomous mission execution can be under an hour. It is deployed on a Boston Dynamics Spot robot using a custom sensing and compute payload called Frontier. In this work we go into detail of the system's performance in two long-term deployments of 49 days at a robotics test facility, and 35 days at the Joint European Torus (JET) fusion reactor in Oxfordshire, UK.
format Preprint
id arxiv_https___arxiv_org_abs_2404_12785
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle AutoInspect: Towards Long-Term Autonomous Industrial Inspection
Staniaszek, Michal
Flatscher, Tobit
Rowell, Joseph
Niu, Hanlin
Liu, Wenxing
You, Yang
Skilton, Robert
Fallon, Maurice
Hawes, Nick
Robotics
We give an overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years AutoInspect has been deployed in a variety of environments, including at a mine, a chemical plant, a mock oil rig, decommissioned nuclear power plants, and a fusion reactor for durations ranging from hours to weeks. The system combines robust mapping and localisation with graph-based autonomous navigation, mission execution, and scheduling to achieve a complete autonomous inspection system. The time from arrival at a new site to autonomous mission execution can be under an hour. It is deployed on a Boston Dynamics Spot robot using a custom sensing and compute payload called Frontier. In this work we go into detail of the system's performance in two long-term deployments of 49 days at a robotics test facility, and 35 days at the Joint European Torus (JET) fusion reactor in Oxfordshire, UK.
title AutoInspect: Towards Long-Term Autonomous Industrial Inspection
topic Robotics
url https://arxiv.org/abs/2404.12785