Sniffbots to the Rescue – Fog Services for a Gas-Sniffing Immersive Robot Collective
Lecture Notes in Computer Science 13226 LNCS, 3 (2022).
U. Aßmann, M. Belov, T. T. T. Cong, W. Dargie, J. Wen, L. Urbas, C. Lohse, L. A. A. Panes-Ruiz, L. Riemenschneider, B. Ibarlucea, G. Cuniberti, M. M. Al Chawa, C. Grossmann, S. Ihlenfeld, R. Tetzlaff, S. A. A. Pertuz, and D. Goehringer.
https://doi.org/10.1007/978-3-031-04718-3_1

Gas accidents frequently turn industrial or civil structures into extremely dangerous environments. Disasters like the Ahrtal flood in summer 2021 destroy infrastructures such as the gas grid and the power grid, so that people loose control and suddenly find themselves confronted with explosions, suffocation, and death. This paper presents a case study of a robot collective identifying gas leaks with a gas-sniffing wireless sensor network, while providing immersive inspection and tele-operation in the dangerous areas. So-called Sniffbots work in a minimal communication infrastructure, construct world maps autonomously, use them to find gas leaks, remotely inspect, and attempt to close them. To this end, the fog of a Sniffbot should offer services, such as sniff-sensor data aggregation, calculation of points of interest in 2-D and 3-D, virtual reality immersion, remote gripping, as well as autonomous control of flying and driving. While this paper discusses a prototype system still under development, the experiments show the fantastic capabilities of modern gas-sniffing sensors in an immersive robotic fog. Sniffbots, though, at this moment in time, being very expensive robot collectives, will be a very valuable aid in the future to save the life of people in gas disasters.

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Sniffbots to the Rescue – Fog Services for a Gas-Sniffing Immersive Robot Collective
Lecture Notes in Computer Science 13226 LNCS, 3 (2022).
U. Aßmann, M. Belov, T. T. T. Cong, W. Dargie, J. Wen, L. Urbas, C. Lohse, L. A. A. Panes-Ruiz, L. Riemenschneider, B. Ibarlucea, G. Cuniberti, M. M. Al Chawa, C. Grossmann, S. Ihlenfeld, R. Tetzlaff, S. A. A. Pertuz, and D. Goehringer.
https://doi.org/10.1007/978-3-031-04718-3_1

Gas accidents frequently turn industrial or civil structures into extremely dangerous environments. Disasters like the Ahrtal flood in summer 2021 destroy infrastructures such as the gas grid and the power grid, so that people loose control and suddenly find themselves confronted with explosions, suffocation, and death. This paper presents a case study of a robot collective identifying gas leaks with a gas-sniffing wireless sensor network, while providing immersive inspection and tele-operation in the dangerous areas. So-called Sniffbots work in a minimal communication infrastructure, construct world maps autonomously, use them to find gas leaks, remotely inspect, and attempt to close them. To this end, the fog of a Sniffbot should offer services, such as sniff-sensor data aggregation, calculation of points of interest in 2-D and 3-D, virtual reality immersion, remote gripping, as well as autonomous control of flying and driving. While this paper discusses a prototype system still under development, the experiments show the fantastic capabilities of modern gas-sniffing sensors in an immersive robotic fog. Sniffbots, though, at this moment in time, being very expensive robot collectives, will be a very valuable aid in the future to save the life of people in gas disasters.

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Involved Scientists