About Networked Intelligent Systems
NIS aims at creating autonomous networked intelligent hybrid systems enabled by ubiquitous sensing and information processing.
These systems should also be able to operate in extreme environments such as the deep sea or inside the human body. Examples of networked intelligent systems we aim to create include: underwater robotics for protecting the environment and exploiting resources, flying or terrestrial robotics for border surveillance, distributed robotics for monitoring intelligent cities, micro-robotics for monitoring human health, or distributed robotics for providing adaptive telecom infrastructures.
The development of such systems will probably lead to new results in the NIS Centres, including chemical and bio-sensors, bio instrumentation, high bitrate underwater communications systems, or positioning and navigation systems in the deep sea.
The Cluster contribution will be focused on the development of new, smaller, smarter and adaptable sensing systems; as well as novel micro and nano-sensing technologies by integrating optical and RF bioradar approaches.
We will work on the development of resilient sensors & data networks for autonomous systems, including those deployed at remote places and in extreme environments.
Furthermore, we want to create new wireless networking solutions for extreme environments such as aerial and maritime. We will also apply machine learning for perception and control and seek to contribute to the next generation of computer aided diagnosis tools to support medical decision making.
Our research goal is to bridge the gap between theoretical/algorithmic techniques and their practicality in real-world networked systems. Challenges addressed in NIS related with sensing, communication, interpretation and action, are strongly multidisciplinary and necessary for systems reacting to the environment. Participation of multiple and disparate disciplines will enable NIS to be distinctive and impactful.
Main research lines
- Computer Vision
- Autonomous Systems