Research
My main research goal is to provide robots, with a special focus on aerial robots, with the maximum level of autonomy allowing them to perform different missions without human intervention. My research interests can be summarized in three main topics: (1) situational awareness for intelligent robots, including sensor fusion and state estimation, localization and mapping, computer vision, and machine learning; (2) trajectory and path planning and control of autonomous robots; and (3) intelligent and cognitive system architectures for multi-agent robotic systems. My research is organized in the following Research Lines (RL) and Application Areas (AA)Research Lines (RL)
Creation (of both robot state and environment), combining multi-level information, such as geometric, semantic, dynamic, topologic, and stochastic, connecting traditional techniques with machine learning approaches.
Real-time trajectory and path planning, as well as trajectory tracking and control, exploiting the aforementioned multi-level situational awareness of the environment (e.g. multi-level map of the environment).
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Real applications of autonomous multi-rotor aerial robots.
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Application Areas (AA)
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Short description of portfolio item number 2
Short description of portfolio item number 2
Short description of portfolio item number 2