Multi-autonomous robot enhanced mobile ad-hoc network under uncertain and vulnerable environment (Conference Presentation)

Ming Feng; Hao Xu

doi:10.1117/12.2556226

27 April 2020 Multi-autonomous robot enhanced mobile ad-hoc network under uncertain and vulnerable environment (Conference Presentation)

Ming Feng, Hao Xu

Author Affiliations +

Proceedings Volume 11426, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations; 1142603 (2020) https://doi.org/10.1117/12.2556226
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

This paper studies the problem of real-time routing in a multi-autonomous robot enhanced network at the uncertain and vulnerable tactical edge. In practical harsh environment such as a battlefield, the uncertainty of social mobility and complexity of vulnerable environment due to unpredictable physical and cyber-attacks from the enemy would seriously affect the effectiveness and practicality of these emerging network protocols. This paper presents a GT-SaRE-MANET (Game-Theoretic Situation-aware Robot Enhanced Mobile Ad-hoc Network) routing protocol that adopts the online reinforcement learning technique to supervise the mobility of multi-robots as well as handle the uncertainty and potential physical and cyber-attack at the tactical edge. The proposed design can better support the virtual, augmented, and mixed reality technology in the future battlefield.

Conference Presentation

Citation Download Citation

Ming Feng and Hao Xu "Multi-autonomous robot enhanced mobile ad-hoc network under uncertain and vulnerable environment (Conference Presentation)", Proc. SPIE 11426, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations, 1142603 (27 April 2020); https://doi.org/10.1117/12.2556226

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