Wienke J, Wrede S. Autonomous Fault Detection for Performance Bugs in Component-Based Robotic Systems. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). IEEE; 2016.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 of the robot using a data-driven methodology which exploits the inter-process communication of the system. This enables an application of the approach without expert knowledge or availability of complex software models. We specifically focus on performance bugs, which slowly degrade the performance of the system and are thereby harder to detect but also ...
© 2014 IEEE. This paper presents a novel approach to the run-time detection of faults in autonomous ...
Robot swarms are large-scale multirobot systems with decentralized control which means that each rob...
Fault tolerance is increasingly important for robots, especially those in remote or hazardous enviro...
Wienke J, Meyer zu Borgsen S, Wrede S. A Data Set for Fault Detection Research on Component-Based Ro...
Wienke J, Wrede S. A Fault Detection Data Set for Performance Bugs in Component-Based Robotic System...
In this dissertation, we study two new approaches to fault detection for autonomous robots. The firs...
In this paper we demonstrate the online applicability of the fault detection and diagnosis approach ...
Golombek R, Wrede S, Hanheide M, Heckmann M. Learning a Probabilistic Error Detection Model for Robo...
Abstract. Faults in hardware and software are not totally avoidable not even if the components are c...
Fault tolerance is increasingly important in modern autonomous or industrial robots. The ability to ...
Advancements in the field of robotics enable the creation of systems with cognitive abilities which ...
Robot swarms are large-scale multirobot systems with decentralized control which means that each rob...
Autonomous systems are usually equipped with sensors to sense the surrounding environment. The senso...
Golombek R, Wrede S, Hanheide M, Heckmann M. A Method for learning a Fault Detection Model from Comp...
Research on diagnosis has a long history in arti-cial intelligence which includes work dealing with ...
© 2014 IEEE. This paper presents a novel approach to the run-time detection of faults in autonomous ...
Robot swarms are large-scale multirobot systems with decentralized control which means that each rob...
Fault tolerance is increasingly important for robots, especially those in remote or hazardous enviro...
Wienke J, Meyer zu Borgsen S, Wrede S. A Data Set for Fault Detection Research on Component-Based Ro...
Wienke J, Wrede S. A Fault Detection Data Set for Performance Bugs in Component-Based Robotic System...
In this dissertation, we study two new approaches to fault detection for autonomous robots. The firs...
In this paper we demonstrate the online applicability of the fault detection and diagnosis approach ...
Golombek R, Wrede S, Hanheide M, Heckmann M. Learning a Probabilistic Error Detection Model for Robo...
Abstract. Faults in hardware and software are not totally avoidable not even if the components are c...
Fault tolerance is increasingly important in modern autonomous or industrial robots. The ability to ...
Advancements in the field of robotics enable the creation of systems with cognitive abilities which ...
Robot swarms are large-scale multirobot systems with decentralized control which means that each rob...
Autonomous systems are usually equipped with sensors to sense the surrounding environment. The senso...
Golombek R, Wrede S, Hanheide M, Heckmann M. A Method for learning a Fault Detection Model from Comp...
Research on diagnosis has a long history in arti-cial intelligence which includes work dealing with ...
© 2014 IEEE. This paper presents a novel approach to the run-time detection of faults in autonomous ...
Robot swarms are large-scale multirobot systems with decentralized control which means that each rob...
Fault tolerance is increasingly important for robots, especially those in remote or hazardous enviro...