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7 papers · 1 filter
Decision Making under Uncertainty: A Quasimetric Approach
Steve N'Guyen, Clément Moulin-Frier, Jacques Droulez
We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as eng…
Saccade learning with concurrent cortical and subcortical basal ganglia loops
Steve N'Guyen, Charles Thurat, Benoît Girard
The Basal Ganglia is a central structure involved in multiple cortical and subcortical loops. Some of these loops are believed to be responsible for saccade target selection. We st…
Space as an invention of biological organisms
Alexander V. Terekhov, J. Kevin O'Regan
The question of the nature of space around us has occupied thinkers since the dawn of humanity, with scientists and philosophers today implicitly assuming that space is something t…
Evolving a Behavioral Repertoire for a Walking Robot
Antoine Cully, Jean-Baptiste Mouret
Numerous algorithms have been proposed to allow legged robots to learn to walk. However, the vast majority of these algorithms is devised to learn to walk in a straight line, which…
Control of VTOL Vehicles with Thrust-direction Tilting
Minh-Duc Hua, Tarek Hamel, Claude Samson
An approach to the control of a VTOL vehicle equipped with complementary thrust-direction tilting capabilities that nominally yield full actuation of the vehicle's position and att…
Crossing the Reality Gap: a Short Introduction to the Transferability Approach
Jean-Baptiste Mouret, Sylvain Koos, Stéphane Doncieux
In robotics, gradient-free optimization algorithms (e.g. evolutionary algorithms) are often used only in simulation because they require the evaluation of many candidate solutions.…