@inbook{32a41f0e8760405b82273dca12961457,
title = "Measuring the Effects of Communication Quality on Multi-robot Team Performance",
abstract = "Maintaining network connectivity is crucial for multi-robot and human-robot teams. If robots lose their network connection, they cannot receive commands or share sensor data with teammates. Most research in the multi-robot systems and human-robot interaction communities assumes 100% network connectivity, 100% of the time; but this is unrealistic for real-world domains. Indeed, this assumption could be associated with significant risk, depending on the robots{\textquoteright} task domain. This paper presents preliminary results for measuring the impact of communication loss on multi-robot team performance. A series of controlled experiments were conducted, with physical and simulated robots, where the probability of packet loss is gradually increased from 0% to 75%. The experiments show that the multi-robot team exhibits a non-linear decrease in performance with respect to an increase in percentage of packets dropped.",
keywords = "Communication, Empirical results, Multi-robot team",
author = "Tsvetan Zhivkov and Eric Schneider and Elizabeth Sklar",
year = "2017",
month = jul,
day = "20",
doi = "10.1007/978-3-319-64107-2_32",
language = "English",
isbn = "9783319641065",
volume = "10454 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "408--420",
booktitle = "Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings",
address = "Germany",
note = "18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017 ; Conference date: 19-07-2017 Through 21-07-2017",
}