MAV Development Towards Navigation in Unknown and Dark Mining Tunnels
Dariusz Kominiak, Sina Sharif Mansouri, Christoforos Kanellakis, and, George Nikolakopoulos

TL;DR
This paper introduces a low-cost, modular, and fully autonomous MAV platform designed for inspection in harsh, unknown mining tunnel environments, emphasizing ease of replacement and onboard data access.
Contribution
The paper presents a novel, cost-effective, and modular MAV design capable of autonomous navigation in challenging mining conditions without prior environment information.
Findings
Comparable navigation reliability to high-end platforms
Cost reduction through modular, consumable design
Enhanced customization with onboard data access
Abstract
The Mining industry considers the deployment of MAV for autonomous inspection of tunnels and shafts to increase safety and productivity. However, mines are challenging and harsh environments that have a direct effect on the degradation of high-end and expensive utilized components over time. Inspired by this effect, this article presents a low cost and modular platform for designing a fully autonomous navigating MAV without requiring any prior information from the surrounding environment. The design of the proposed aerial vehicle can be considered as a consumable platform that can be instantly replaced in case of damage or defect, thus comes into agreement with the vision of mining companies for utilizing stable aerial robots with reasonable cost. In the proposed design, the operator has access to all on-board data, thus increasing the overall customization of the design and the…
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