Mikhail Belov

Phd Student TU Dresden, Prof. Softwaretechnology (Prof. Aßmann)

Sniffbots to the Rescue - Fog Services for a Gas-Sniffing Immersive Robot Collective

Gas accidents frequently turn industrial or civil regions 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 sensor network, while providing immersive inspection and tele-operation in the dangerous areas for remote human operators. So-called Sniffbots work in a minimal communication infrastructure, construct world maps autonomously and use them to find gas leaks, to remotely inspect and close them. To this end, the fog of a sniffbot should offer services, such as sniff-sensor data aggregation, triangulations of points of interest, virtual reality immersion, remote gripping, world map management, as well as autonomous control of flying and driving. While this keynote 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 to save the life of people in gas disasters.

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