Multisensorial Generative and Descriptive Self-Awareness Models for Autonomous Systems

2020 ◽  
Vol 108 (7) ◽  
pp. 987-1010 ◽  
Author(s):  
Carlo S. Regazzoni ◽  
Lucio Marcenaro ◽  
Damian Campo ◽  
Bernhard Rinner
2020 ◽  
Vol 108 (7) ◽  
pp. 971-975 ◽  
Author(s):  
Nikil Dutt ◽  
Carlo S. Regazzoni ◽  
Bernhard Rinner ◽  
Xin Yao

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1210
Author(s):  
Esther Aguado ◽  
Zorana Milosevic ◽  
Carlos Hernández ◽  
Ricardo Sanz ◽  
Mario Garzon ◽  
...  

Autonomous systems are expected to maintain a dependable operation without human intervention. They are intended to fulfill the mission for which they were deployed, properly handling the disturbances that may affect them. Underwater robots, such as the UX-1 mine explorer developed in the UNEXMIN project, are paradigmatic examples of this need. Underwater robots are affected by both external and internal disturbances that hamper their capability for autonomous operation. Long-term autonomy requires not only the capability of perceiving and properly acting in open environments but also a sufficient degree of robustness and resilience so as to maintain and recover the operational functionality of the system when disturbed by unexpected events. In this article, we analyze the operational conditions for autonomous underwater robots with a special emphasis on the UX-1 miner explorer. We then describe a knowledge-based self-awareness and metacontrol subsystem that enables the autonomous reconfiguration of the robot subsystems to keep mission-oriented capability. This resilience augmenting solution is based on the deep modeling of the functional architecture of the autonomous robot in combination with ontological reasoning to allow self-diagnosis and reconfiguration during operation. This mechanism can transparently use robot functional redundancy to ensure mission satisfaction, even in the presence of faults.


2020 ◽  
Vol 108 (7) ◽  
pp. 1127-1149 ◽  
Author(s):  
Alexander Schmidt ◽  
Heinrich W. Lollmann ◽  
Walter Kellermann

Author(s):  
Armin Sadighi ◽  
Bryan Donyanavard ◽  
Thawra Kadeed ◽  
Kasra Moazzemi ◽  
Tiago Muck ◽  
...  

2017 ◽  
Vol 2 (9) ◽  
pp. 3-9 ◽  
Author(s):  
Kristina M. Blaiser ◽  
Mary Ellen Nevins

Interprofessional collaboration is essential to maximize outcomes of young children who are Deaf or Hard-of-Hearing (DHH). Speech-language pathologists, audiologists, educators, developmental therapists, and parents need to work together to ensure the child's hearing technology is fit appropriately to maximize performance in the various communication settings the child encounters. However, although interprofessional collaboration is a key concept in communication sciences and disorders, there is often a disconnect between what is regarded as best professional practice and the self-work needed to put true collaboration into practice. This paper offers practical tools, processes, and suggestions for service providers related to the self-awareness that is often required (yet seldom acknowledged) to create interprofessional teams with the dispositions and behaviors that enhance patient/client care.


Sign in / Sign up

Export Citation Format

Share Document