Measuring the Effects of Communication Quality on Multi-robot Team Performance

TY - CHAP

T1 - Measuring the Effects of Communication Quality on Multi-robot Team Performance

AU - Zhivkov, Tsvetan

AU - Schneider, Eric

AU - Sklar, Elizabeth

PY - 2017/7/20

Y1 - 2017/7/20

N2 - 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’ 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.

AB - 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’ 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.

KW - Communication

KW - Empirical results

KW - Multi-robot team

UR - https://www.scopus.com/pages/publications/85026738701

U2 - 10.1007/978-3-319-64107-2_32

DO - 10.1007/978-3-319-64107-2_32

M3 - Conference paper

AN - SCOPUS:85026738701

SN - 9783319641065

VL - 10454 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 408

EP - 420

BT - Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings

PB - Springer Verlag

T2 - 18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017

Y2 - 19 July 2017 through 21 July 2017

ER -