The market for service robots is expanding as labor costs continue to rise. Faced with
intricate working environments, fault detection and diagnosis are crucial to ensure the …

As we rely more on robots, thus it becomes important that a continuous successful operation
is maintained. Unfortunately, these sophisticated, machines are susceptible to different …

The use of robots in our daily lives is increasing. As we rely more on robots, thus it becomes
more important for us that the robots will continue on with their mission successfully …

Abstract System monitoring can help to detect anomalies, but crafting monitors for robot
systems is difficult due to the inherent complexity, changing, and uncertain operating …

Fault detection and identification methods (FDI) are an important aspect for ensuring
consistent behavior of technical systems. In robotics FDI promises to improve the autonomy …

We present a novel fault detection method for application in component-based robotic
systems. In contrast to existing work, our method specifically addresses faults in the software …

System monitoring can help to detect abnormalities and avoid failures. Crafting monitors for
today's robotic systems, however, can be very difficult due to the systems' inherent …

Fault diagnosis in robotic systems is challenging due to their complex and heterogeneous
structures and complex interactions with physical environments. Given the complexities and …

We introduce Drums, a new tool for monitoring and debugging distributed robot systems,
and a complement to robot middleware systems. Drums provides online time-series …

Robust dead reckoning is a complicated problem for wheeled mobile robots (WMRs), where
the robots are faulty, such as the sticking of sensors or the slippage of wheels, for the …