Zahra Seifaei published her latest results

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New Insights from MultiRobotSystems
In our latest paper, accepted for the European Wireless 2024 Conference, we investigated how communications constraints, particularly packet losses, impact the coordination of multi-robot systems. Using a leader-follower drone scenario, we developed a predictive algorithm to optimize reliability and task performance D2D communications.

Key Findings:

  • We developed a customized outage probability model to handle packet losses.
  • Our model ensures that drones maintain formation and complete tasks, even with intermittent communications disruptions.

Why this is important:
Reliable communications is critical for the success of collaborative robotics in industries like urban surveillance, delivery systems, and autonomous vehicles. Our work demonstrates how to mitigate communication issues, ensuring robust and reliable operations.
Our approach combines physical layer abstraction models and sampling time optimization to improve system reliability in the face of communications challenges.

Target Audience:
Professionals in robotics, telecommunications, and control systems engineering looking to enhance system reliability and performance in the real world.
The published paper is authored by Zahra Seifaei, Maximilian Lübke and Norman Franchi.

Acknowledgments:
This work is part of the BMBF-funded 6G-ANNA project, showcasing cutting-edge research in next-generation communications systems.