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the NINSAR project (New ItiNerarieS for Agroecology using cooperative Robots), funded by the Agroecology and ICT PEPR (Priority Research Program and Equipment) and bringing together 17 French laboratories in
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the Schmidt Kalman Filter. Regarding integrity, each robot can improve its state estimation thanks to shared information and measurements. Particular attention will be paid to the quality of information
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Embodied Intelligence for a flexible, agile robot Most existing robots are rigid, heavy and dangerous. Ecological issues and the need to interact with humans are increasingly driving the need for robots
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of this project is to develop a new Exechon-type parallel robot architecture that can be moved for machining and drilling tasks on large parts in the aerospace and naval sectors. This architecture has to meet both
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on AUTOMATICS, SIGNAL, IMAGES, SPEECH, COGNITION, ROBOTICS and LEARNING. Multidisciplinary and at the interface between the human, the physical and digital worlds, our research is confronted with measurements