Smart Sensors for Remotely Operated Robots

Dear Colleagues,

Robots can be very different, from humanoids to intelligent self-driving cars, or just IoT systems that locally collect and process information from sensors. Each of these robots can communicate with each other if they are close enough or through access points (AP).

Smart sensors use evolving techniques for signal processing, data fusion techniques, smart algorithms and artificial intelligence principles, to increase our understanding of sensor data, improve the integration of sensors, improve the extraction of features and allow smart sensing applications to take measurements and to control different types of robots.

Lately, significant progress has been made in computer technology regarding increased miniaturization, computational power and big data accessibility. These advances are important in making the sensors and sensing modalities both distributed and at edge, in order to provide a dependable environment for remotely operated robots. These features will support a broader variety of functions: multi-sensory data processing and analytics, dynamic control systems approaches and artificial intelligence. These new capabilities will enable disruptive innovation in biomedical robots, independent insect-size drones, independent intelligent environmental perception, safety critical applications and surveillance in real time and beyond.

This Special Issue aims to highlight the progress and latest emerging technology applications for remotely operated robots’ smart sensors in all fields. It will provide the scientific community with a platform for sharing innovations and new ideas about those technologies.

The topics of interest include, but are not limited to:

• Hardware–software design approaches for smart edge processing
• Heterogeneous systems-on-chip and architecture for energy-efficient smart edge processing
• Edge machine-learning architectures dealing with sensor and signal variabilities
• Neuro-symbolic and brain- and bio-inspired computing paradigms for edge processing
• IO and peripherals for energy-efficient interfaces in edge-computing systems
• Edge processing for IoT systems and human–machine interaction
• Real-time and safety-critical smart edge sensors for industrial IoT
• Dependability issues for smart sensors
• Security and privacy for smart sensors
• Applications: smart city, smart home, environmental monitoring, biomedical, industrial, wearable systems, smart agriculture, etc.

Prof. Dr. Liviu C. Miclea
Dr. Ovidiu P. Stan
Dr. Vlad Muresan
Prof. Dr. Florin Pop
Guest Editors

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