Smart-troubleshooting connected devices: Concept, challenges and opportunities
Today's digital world and evolving technology has improved the quality of our lives but it has
also come with a number of new threats. In the society of smart-cities and Industry 4.0, where …
also come with a number of new threats. In the society of smart-cities and Industry 4.0, where …
Compensation for undefined behaviors during robot task execution by switching controllers depending on embedded dynamics in rnn
Robotic applications require both correct task performance and compensation for undefined
behaviors. Although deep learning is a promising approach to perform complex tasks, the …
behaviors. Although deep learning is a promising approach to perform complex tasks, the …
A design and analysis methodology for component-based real-time architectures of autonomous systems
The integration of autonomous robots in real applications is a challenge. It needs that the
behaviour of these robots is proved to be safe. In this paper, we focus on the real-time …
behaviour of these robots is proved to be safe. In this paper, we focus on the real-time …
[HTML][HTML] Recovery planning of industrial robots based on semantic information of failures and time-dependent utility
S Matsuoka, T Sawaragi - Advanced Engineering Informatics, 2022 - Elsevier
Industrial robots are required to recover from temporary errors and continue operations
under a changing environment. In this paper, we propose a recovery planning system that …
under a changing environment. In this paper, we propose a recovery planning system that …
A modeling framework for software architecture specification and validation
Integrating robotic systems into our everyday life needs that we prove that they will not
endanger people, ie that they will behave correctly with respect to some safety rules. In this …
endanger people, ie that they will behave correctly with respect to some safety rules. In this …
Endowing robots with longer-term autonomy by recovering from external disturbances in manipulation through grounded anomaly classification and recovery policies
Robots are poised to interact with humans in unstructured environments. Despite
increasingly robust control algorithms, failure modes arise whenever the underlying …
increasingly robust control algorithms, failure modes arise whenever the underlying …
Cut & recombine: reuse of robot action components based on simple language instructions
Human beings can generalize from one action to similar ones. Robots cannot do this and
progress concerning information transfer between robotic actions is slow. We have designed …
progress concerning information transfer between robotic actions is slow. We have designed …
[PDF][PDF] Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification.
We have proposed an error recovery method using the concepts of task stratification and
error classification. In this paper, the recovery process after the judgment of error is …
error classification. In this paper, the recovery process after the judgment of error is …
Recovering from external disturbances in online manipulation through state-dependent revertive recovery policies
Robots are increasingly entering uncertain and unstructured environments. Within these,
robots are bound to face unexpected external disturbances like accidental human or tool …
robots are bound to face unexpected external disturbances like accidental human or tool …
Intuitive programming of conditional tasks by demonstration of multiple solutions
Conditional tasks include a decision on how the robot should react to an observation. This
requires to select the appropriate action during execution. For instance, spatial sorting of …
requires to select the appropriate action during execution. For instance, spatial sorting of …