Lecture 1: Neurorobotics
La robotique peut aider les neurosciences :
Neuro-robotique (M1 Paris Descartes)
Teacher: Mehdi KhamassiLecture 2: Perception en robotique
David Filliat
Tutorial 1: Reinforcement Learning
Tutorial 1: Reinforcement Learning
Lecture 3: Neurorobotic models of spacial cognition
Teacher: Anfelo Arleo
Lecture 4: Neuromimetic Navigation Strategies
Teacher: Benoît Girard
Lecture 5: Bayesian filters
Teacher: Bessière Pierre
Tutorial 2: Navigation Strategies
Tutorial 2: Navigation Strategies
Tutorial 3: Regression
Tutorial 3: Regression
Lecture 6: Perception et émotion pour l’interaction
Teacher: Philippe Gaussier
Lecture 7: Motor Control
Teacher: Emmanuel Guigon (ISIR, Sorbonne Université)
Lecture 8: Evolutionary Robotics
Teacher: Stéphane Doncieux, Nicolas Bredèche
[Final Project] Inferring Space from Sensorimotor Dependencies
Documentation Slides iPython notebook
Tutorial 4: Intent Recognition
Lab 4: Intent Recognition Younesse Kaddar, Alexandre Olech and Kexin Ren (Lecturer: Mohamed Chetouani)