11 July 2023
As robot swarm applications move to the real-world, ensuring the safety of such systems will be critical for trust and adoption. Fault detection is an essential component in systems which require a level of safety.
Previous work from EMERGE partners from the University of Bristol has identified metrics with high discriminatory power between faulty and normal states of a robot in the swarm. The method for identifying such metrics has been implemented in simulation.
In this work, they implement metric extraction in a real-world environment and evaluate whether the extracted metrics can overcome the “sim-to-real gap” - in other words how well it transfers from simulation to a real-world setting.
Read the paper in the link below.
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