Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: Research Program

Multi-sensory perception and control

Multi-sensory based perception and control is an area that starts from one single robot evolving in the environment with a set of sensors, up to a set of heterogeneous robots collaborating for the execution of a global shared task. We will address problems such as the active selection of the most suitable source of information (e.g. sensors and features) during the execution of the task and the active sensing control in order to maximize the collected information about the world modeling (including calibration and environment parameters, exogenous disturbances), allowing the task-driven sensor-based control framework to be more efficiently and robustly executed. Another issue will be the execution of a task defined by another robot or human, and to be replicated with a robot with different capabilities in perception, control and level of autonomy (i.e. heterogeneous robots). Last issues will come from the collaboration of different autonomous and heterogeneous robots in order to accomplish a shared task (mapping, robust localization, calibration, tracking, transporting, moving, …)