Literature Database Entry

khan2025mobile

Mohammad Bariq Khan, Daniel Gordon, Xueli An and Falko Dressler, "Mobile Communication Network-Guided Vision-Language Navigation in Multi-Agent Systems," Proceedings of IEEE Global Communications Conference (GLOBECOM 2025), Workshop on Agentic AI Empowered Wireless Communications and Networking, Taipei, Taiwan, December 2025. (to appear)

Abstract

The emergence of AI-native 6G networks introduces an agentic architectural paradigm where intelligent network entities actively coordinate distributed systems. We leverage this capability to address scalability limitations in vision-and-language navigation (VLN) for robotic agents. Unlike existing VLN approaches designed for isolated operation, we propose a collaborative framework where a network agent orchestrates data collection from distributed robotic agents to construct a shared, query-able semantic map of the environment. By offloading computationally intensive mapping tasks from resource-constrained robots to the network, the framework improves operational efficiency. It also reduces redundancy and exploration cost by limiting each agent's search area. Furthermore, because semantic mapping is highly sensitive to data distortion, the network agent leverages its intrinsic access to communication metrics to guide robotic agents during data collection, minimizing transmission errors and ensuring robust map generation. Simulation results demonstrate that our off-board collaborative framework achieves mapping accuracy comparable to traditional on-board individualistic methods, with negligible computational overhead for participating robotic agents. Notably, it significantly lowers exploration costs for newly deployed agents, facilitating efficient adaptation to dynamic environments without compromising performance.

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Mohammad Bariq Khan
Daniel Gordon
Xueli An
Falko Dressler

BibTeX reference

@inproceedings{khan2025mobile,
    author = {Khan, Mohammad Bariq and Gordon, Daniel and An, Xueli and Dressler, Falko},
    note = {to appear},
    title = {{Mobile Communication Network-Guided Vision-Language Navigation in Multi-Agent Systems}},
    publisher = {IEEE},
    address = {Taipei, Taiwan},
    booktitle = {IEEE Global Communications Conference (GLOBECOM 2025), Workshop on Agentic AI Empowered Wireless Communications and Networking},
    month = {12},
    year = {2025},
   }
   
   

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