Robots traditionally have a wide array of sensors that allow them to react to the environment
and make appropriate decisions. These sensors can give incorrect or imprecise data due to …

Robots have to be able to function in a multitude of different situations and environments. To
help them achieve this, they are usually equipped with a large set of sensors whose data will …

In this paper, a model-based fault detection and isolation (FDI) method is proposed, with the
objective to ensure a fault-tolerant autonomous mobile robot navigation. The proposed …

Programming multi-robot autonomous systems can be extremely complex without
appropriate software development techniques to abstract hardware faults, as well as can be …

Multisensor perception has an important role in robotics and autonomous systems, providing
inputs for critical functions including obstacle detection and localization. It is starting to …

In this work we focus on the problem of probabilistic sensor fusion in Multi-Robot Multi-
Sensor Systems (MRMS), taking into account that some sensors might fail or produce …

Reliably detecting obstacles and identifying traversable areas is a key challenge in mobile
robotics. For redundancy, information from multiple sensors is often fused. In this work we …

We have investigated the use of multi-agent system for Multi Sensor Data Fusion (MSDF)
where percetual and interpretation agents interact according to cooperation strategies. The …

Future distributed applications will combine mobile and stationary sensor actuator entities as
part of smart environments. Hence, a various number of intelligent sensor systems and …

The objective of this paper is to survey the state of the art of multisensor data fusion in
intelligent robot systems. The variety of approaches to the problem of multisensor fusion …