Inspection of defects in civil infrastructure has been a constant field of research. In the
current operational paradigm, a technician is responsible to go physically to the field in order …

This paper presents a family of algorithms based on sparse decompositions that detect
anomalies in video sequences obtained from slow moving cameras. These algorithms start …

The oil and gas industry faces increasing pressure to remove people from dangerous
offshore environments. Robots present a cost-effective and safe method for inspection …

Environments in mining are harsh and demanding to any equipment. This paper introduces
a new rail-guided robotic vehicle system as a sensor carrier for inspection and condition …

This paper describes the design and implementation of a rail-guided mobile robot-based
monitoring system that can be used for autonomous monitoring of the facilities and rapid …

Recent offshore drilling activities have dramatically bloomed oil and gas production. Due to
extreme weather, such as hurricanes and tsunamis, offshore oil platforms may need to be …

This paper addresses the problem of anomaly detection on rotating machinery in industrial
environments using single channel audio signals. The proposed algorithm is based on …

DORIS is a mobile robot for remote supervision, diagnosis, and data acquisition on offshore
facilities. The proposed system is composed of a rail-guided robot capable of carrying …

This paper presents the development progress of DORIS, an autonomous rail-guided robot
designed for inspection and monitoring of Oil and Gas (O&G) facilities. The robot …

This work presents a probabilistic localization algorithm for the autonomous navigation
system of a rail-guided robot, named DORIS, aimed at performing inspection and monitoring …