Robot-As-A-Sensor: Forming a Sensing Network with Robots for Underground Mining Missions

TL;DR

This paper introduces the Robot-As-A-Sensor (RAAS) concept, enabling robots to function as mobile sensors within wireless networks to improve collaboration and safety in underground mining operations.

Contribution

It proposes the RAAS framework, addressing integration challenges and outlining technological advancements for deploying robot-based sensing networks in hazardous environments.

Findings

RAAS enhances robot collaboration in mining environments.

Technological solutions are identified for RAAS integration challenges.

Outlook on future technologies for implementing RAAS.

Abstract

Nowadays, robots are deployed as mobile platforms equipped with sensing, communication and computing capabilities, especially in the mining industry, where they perform tasks in hazardous and repetitive environments. Despite their potential, individual robots face significant limitations when completing complex tasks that require the collaboration of multiple robots. This collaboration requires a robust wireless network to ensure operational efficiency and reliability. This paper introduces the concept of "Robot-As-A-Sensor" (RAAS), which treats the robots as mobile sensors within structures similar to Wireless Sensor Networks (WSNs). We later identify specific challenges in integrating RAAS technology and propose technological advancements to address these challenges. Finally, we provide an outlook about the technologies that can contribute to realising RAAS, suggesting that this approach could catalyse a shift towards safer, more intelligent, and sustainable industry practices. We believe that this innovative RAAS framework could significantly transform industries requiring advanced technological integration.