Aude Billard
Fields of expertise
Machine Learning
Neural Modeling
Humanoid Robotics
Human-Robot Interactions
Computational Neuroscience
Teaching & PhD
Teaching
- Microengineering,
- Mechanical Engineering
PhD Programs
- Doctoral program in computer and communication sciences
- Doctoral Program in Manufacturing Systems and Robotics
- Doctoral Program in Electrical Engineering
- Doctoral program in robotics, control, and intelligent systems
- Doctoral Program in Neuroscience
- Doctoral Program Digital Humanities
PhD Students
Amanhoud Walid
Aryan Saurav
Batzianoulis Iason
Bombile Bosongo Michael
Ferreira Duarte Nuno Ricardo
Figueroa Fernandez Nadia Barbara
Gonon David Julian
Haget Anaïs Betsabeh
Hernandez Sanchez Jacob
Khadivar Farshad
Khoramshahi Mahdi
Urbano Leonardo
Yao Kunpeng
De Chambrier Guillaume Pierre Luc ...
De Souza Ravin Luis ...
Gribovskaya Elena ...
Günter Florent ...
Hersch Micha ...
Khansari Zadeh Seyed Mohammad ...
Kim Seungsu ...
Kronander Klas Jonas Alfred ...
Li Miao ...
Lukic Luka ...
Mirrazavi Salehian Seyed Sina ...
Noris Basilio ...
Petreska von Ritter-Zahony Biljana ...
Sauser Eric ...
Shukla Ashwini ...
Sommer Nicolas ...
Ureche Ana-Lucia ...
Yin Hang ...
Aryan Saurav
Batzianoulis Iason
Bombile Bosongo Michael
Ferreira Duarte Nuno Ricardo
Figueroa Fernandez Nadia Barbara
Gonon David Julian
Haget Anaïs Betsabeh
Hernandez Sanchez Jacob
Khadivar Farshad
Khoramshahi Mahdi
Urbano Leonardo
Yao Kunpeng
Past PhD Students
Calinon Sylvain ...De Chambrier Guillaume Pierre Luc ...
De Souza Ravin Luis ...
Gribovskaya Elena ...
Günter Florent ...
Hersch Micha ...
Khansari Zadeh Seyed Mohammad ...
Kim Seungsu ...
Kronander Klas Jonas Alfred ...
Li Miao ...
Lukic Luka ...
Mirrazavi Salehian Seyed Sina ...
Noris Basilio ...
Petreska von Ritter-Zahony Biljana ...
Sauser Eric ...
Shukla Ashwini ...
Sommer Nicolas ...
Ureche Ana-Lucia ...
Yin Hang ...
Courses
Advanced machine learning
Applied machine learning
Real-world engineering applications must cope with a large dataset of dynamic variables, which cannot be well approximated by classical or deterministic models. This course gives an overview of methods from Machine Learning for the analysis of non-linear,...
Machine learning programming
Robotics practicals
The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic devices, all the way to interactive robots.