Cooperative Sensing for Environmental Applications: From Sensor Networks to Multi-Robot Teams

Dear Colleagues,

Environmental monitoring applications are in urgent demand in the face of the current climate crisis. Automation and intelligent systems play a pivotal role in developing systems that can assist in a multitude of areas that require prevention, detection, or monitoring tasks that may be onerous, difficult, or hazardous when performed by humans.

In this context, sensor networks and mobile robotics can lead to the emergence of autonomous environmental monitoring systems. This Special Issue focuses on cooperative sensing approaches that can leverage intelligent sensor techniques, ranging from networks of cyber-physical systems based on static sensors to multi-robot systems with networks of robots. Approaches may include a broad array of remote sensing techniques and sensor or in-situ measurement methods.

This Special Issue welcomes original research articles, theoretical innovations, reviews, and applications to a relevant environmental field, such as forestry and agriculture, wildfire management, ocean observation, polar exploration, or search and rescue (SAR) and disaster response to natural hazards such as floods, radioactive environments, landslides, or avalanches. The range of applications extends to the general exploration of planetary bodies and space robotics.

Topics include:

• Resilient sensor networks;
• Multi-robot systems;
• Cooperative algorithms;
• Network optimization;
• Sensor fusion;
• Robot autonomy;
• Perception;
• Estimation;
• Planning and trajectory optimization;
• Detection, localization, and tracking;
• Simultaneous localization and mapping (SLAM);
• (Collaborative) situational awareness.

Ms. Maria João Sousa
Prof. Dr. Alexandra Moutinho
Guest Editors

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• cooperative sensing
• environmental applications
• mapping
• monitoring
• surveillance
• cyber-physical systems
• network optimization, multi-robot teams
• robot autonomy