Robotics, Data science and Healthcare technologies

Complex Systems and Parsimony

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Complex Systems

The minimization of the ecological footprint of complex systems is the common denominator of this theme. Fugal mechatronic systems allow, by their original structure, to minimize the energy and raw material used for their manufacturing. Advanced control allows to minimize their energy consumption and their polluting emissions while making limited compromises on performance and robustness. Real-time embedded vision adds exteroceptive feedback to the control system to improve the accuracy and dynamic performance of lightweight mechanical systems.

Event-Based Control

Sylvain Durand, sdurand@unistra.fr

Non Linear Predictive Control

Loïc Cuvillon, l.cuvillon@unistra.fr

A Completer

Iulia, Hassan, Edouard

Parsimony

Flexible Mechanisms

Lennart Rubbert, lennart.rubbert@insa-strasbourg.fr
Marc Vedrines, marc.vedrines@insa-strasbourg.fr

Cable-Driven Parallel Robotics

Jacques Gangloff, jacques.gangloff@unistra.fr
Loïc Cuvillon, l.cuvillon@unistra.fr
Sylvain Durand, sdurand@unistra.fr
Edouard Laroche, laroche@unistra.fr

Aerial Manipulation

Jacques Gangloff, jacques.gangloff@unistra.fr
Loïc Cuvillon, l.cuvillon@unistra.fr
Sylvain Durand, sdurand@unistra.fr
Adlane Habed, habed@unistra.fr

Active Markers

Christophe

Knowledge/Vision Interaction

Adlane Habed, habed@unistra.fr