Robot-As-A-Sensor: Forming a Sensing Network with Robots for Underground Mining Missions
<|reference_start|>Robot-As-A-Sensor: Forming a Sensing Network with Robots for Underground Mining Missions: 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.<|reference_end|>
@article{ai2024robot-as-a-sensor:,
    title={Robot-As-A-Sensor: Forming a Sensing Network with Robots for Underground
  Mining Missions},
    author={Xiaoyu Ai, Chengpei Xu, Binghao Li, Feng Xia},
    journal={arXiv preprint arXiv:2405.00266},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.00266},
    primaryClass={cs.NI}
}