Special Issue "Sensing Technologies for Autonomy and Cooperation in Underwater Networked Robot Systems"
Deadline for manuscript submissions: closed (31 March 2017).
Interests: autonomy and cooperation; ubiquitous computing and internet of things (IoT); cyber physical systems (CPS); underwater; ground and aerial cooperating robots; embedded systems; distributed systems and software architectures; next-generation telematics networks and services
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In the near future, oceans will supply a substantial part of human and industrial resources. Currently, most of subsea and offshore operations are performed by divers in dangerous and very expensive missions. This is valid for oil and gas industries, construction, repair and maintenance works in shallow waters, offshore renewable energy exploitations, port infrastructures, etc.
Increasing the autonomy of underwater cooperative vehicles, equipped with different kinds of sensing technologies, could solve the problem of operating in different underwater, non-deterministic working conditions without involving human intervention at sea for safe, efficient and secure missions. This solution comes with many technological challenges that are yet to be solved.
This Special Issue focuses on innovative approaches for sensing, perception, navigation, communication and cognition solutions in cooperation for autonomous networked robot systems in underwater environments. To this purpose, high-quality contributions made by researchers from both academia and industry are expected.
Potential topics include, but are not limited to:
- Sensory based motion algorithms
- Middleware architectures
- Semantics and information models
- Intelligent coordination and decision-making algorithms
- Task and mission planning , adaptive planning and plan repairing
- Optimized communication networks and protocols
- Context and situation awareness for environment characterization
- Autonomous navigation and positioning
- Hybrid vision and acoustic perception systems
- Image base localization and 3D mapping systems
- 2D/3D map fusion
- object recognition and tracking
- Simulation models and tools for networked vehicles
- Energy efficiency algorithms
Prof. Dr. José-Fernán Martínez
Manuscript Submission Information
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