Research objectives
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Develop real-time perception of complex and dynamic environments in order to build large scale semantic representations that can be shared to other robots
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Develop intelligent robots able to (i) decide their actions in real-time (ii) manage uncertainty (iii) predict in real-time the future states (iv) acquire new capacities
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Develop autonomous collaborative robots able to accomplish complex task taking high-level cognitive-based decisions without human intervention
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Develop efficient optimization methods and algorithms to process large amount of data and solve hard problems in robotic perception, decision and control.
Research Axes
- A: Augmented spatio-temporal perception of complex environments
- B: Situation awareness for decision and planning
- C: Advanced multi-sensor control of autonomous multi-robot systems
