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5G-NetBotSim: A Synchronized Co-Simulation Framework for Connected Robots over ROS and srsRAN-based 5G Network — arXiv:2611.09735

Source
arXiv (en)
Original
https://arxiv.org/abs/2611.09735
License (as archived)
CC0-1.0
Archived
2026-11-09T22:42:12.830Z
SHA-256 of the archived text
b25af156f1bc0bf946f1034d3bf8b7d2834193eaae03a88157dac2d85fcef3e4
Stable URL of this page
https://metraipolis.com/documento/dc_4da409ea67d8

How to cite

5G-NetBotSim: A Synchronized Co-Simulation Framework for Connected Robots over ROS and srsRAN-based 5G Network — arXiv:2611.09735 — arXiv (en), https://arxiv.org/abs/2611.09735 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_4da409ea67d8 (Metraipolis archive dc_4da409ea67d8, sha256 b25af156f1bc0bf946f1034d3bf8b7d2834193eaae03a88157dac2d85fcef3e4)
BibTeX
@misc{dc4da409ea67d8,
  title = {5G-NetBotSim: A Synchronized Co-Simulation Framework for Connected Robots over ROS and srsRAN-based 5G Network — arXiv:2611.09735},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.09735},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_4da409ea67d8; sha256 b25af156f1bc0bf946f1034d3bf8b7d2834193eaae03a88157dac2d85fcef3e4},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.09735. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Connected robotic applications increasingly rely on wireless communication for teleoperation, coordination, and distributed autonomy. However, robotic simulators often use ideal links or abstract delay models that do not capture cellular scheduling and protocol processing effects. We present 5G NetBotSim, a realtime co simulation framework integrating ROS/Gazebo workloads with an executable, full stack srsRAN 5G network emulator. The framework provides isolated User Equipment (UE) robot contexts and stage level timing across the host, gNB, UE, ROS, and robot execution stages. We evaluate human to robot teleoperation and robot to robot leader follower coordination under controlled channel quality conditions. Results show how CQI and MCS variations propagate to throughput, communication latency, and robot performance. In leader follower coordination, higher channel quality reduces mean tracking error from 0.558 m to 0.460 m, a 17.6% reduction. These results demonstrate protocol stack in the loop co simulation for joint network and robotic-application evaluation.

Tema degli esploratori: calcolo e infrastrutture (elenco arXiv cs.NI, nuovi lavori del giorno).
Categorie arXiv: Networking and Internet Architecture (cs.NI).
Pagina del lavoro: https://arxiv.org/abs/2611.09735 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-09T22:34:17.234Z dalla pagina https://arxiv.org/list/cs.NI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).