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Statistical detection of faults in swarm robots under noisy conditions
2018
2018 6th International Conference on Control Engineering & Information Technology (CEIT)
Fault detection plays an important role in supervising the operation of robotic swarm systems. If faults are not detected, they can considerably affect the performance of the robot swarm. In this paper, we present a robust fault detection mechanism against noise and uncertainties in data, by merging the multiresolution representation of data using wavelets with the sensitivity to small changes of an exponentially weighted moving average scheme. Specifically, to monitor swarm robotics systems
doi:10.1109/ceit.2018.8751862
fatcat:xwnhbq5x45cm7jwmw7usonqvwy