Intelligent Sensors for Fault Diagnosis and Robot Control
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 331
Special Issue Editor
Interests: industrial robot; human-robot interaction; fault diagnosis; robot-vision system; machine learning and pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous robotic systems (ARS) have been extensively applied for many practical applications that are either too dangerous or unsuitable for humans, such as environmental monitoring, security surveillance, precision farming and search-and-rescue, not only on land and in the air, but also at sea. Many advanced navigation, sensing and communication functionalities are needed for ARS to achieve autonomy and intelligence. The complexity and interdependence of these elements introduces new weaknesses within robotic systems, making them fragile and vulnerable to external attacks. Autonomous robots are often deployed in dynamic and harsh environments, e.g., underwater or in nuclear environments. Extreme disturbances from dynamic environments can cause system failures, leading to physical system damage, intelligence leakage and even the endangerment of human lives. Due to a lack of reliability, especially in challenging environmental conditions, many safety issues limit the potential applications of ARS. Unfortunately, the development and application of resiliency and safety technologies to ARS is not keeping pace with their growth rate and demand. Therefore, new sensors, as well as control design techniques and methodologies, are urgently needed to enhance the safety and reliability of this emerging key enabling technology. Therefore, this Special Issue aims to gather original research and review articles on the recent advances, technologies, solutions and applications of new sensors (both physical and virtual) for fault diagnosis and control, in order to increase the resilience, robustness and safety of robotic systems.
The following are examples of the topics to be covered:
- Intelligent sensors for fault diagnosis and fault-tolerant control.
- Intelligent sensors for perception and measurement.
- Sensors for digital twins of robotics.
- Sensors for communications of robotics and underwater environments.
- Virtual/augmented reality in robotics.
- Sensory augmentation that combines human perception with non-haptic sensors.
- Data-driven methods for sensor fusion in robotics.
Dr. Mien Van
Guest Editor
Manuscript Submission Information
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Keywords
- fault diagnosis and fault-tolerant control
- resilient control
- safety critical control
- sensing and perception
- virtual/augmented reality
- sim-to-real simulation/digital twins
