Aude Billard

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Full Professor

aude.billard@epfl.ch +41 21 693 54 64 http://lasa.epfl.ch/

Citizenship: swiss

EPFL STI IMT LASA
ME A3 393 (Bâtiment ME)
Station 9
1015 Lausanne

Web site:  Web site:  https://lasa.epfl.ch/

EPFL STI IGM-GE
MED 0 1726 (Bâtiment MED)
Station 9
1015 Lausanne

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Administrative data

Fields of expertise

Machine Learning 
Robotics 
Mechatronics 
Dynamical Systems
Computational Neuroscience

Professional course

Full Professor

EPFL

2013

Associated Professor with Tenure

EPFL

2006-2012

Assistant Professor

EPFL

2002-2006

Assistant Professor

University of Southern California

2000-2002


Education

PhD

Artificial Intelligence

University of Edinburgh

1998

MSc

Knowledge-Based Systems

University of Edinburgh

1996

BSc & MSc

Physics

EPFL

1995

Teaching & PhD

Teaching

Microengineering

Mechanical Engineering

Courses

Machine learning programming

This is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset.

Robotics practicals

The practicals can include the following topics:
  • Teaching Robots to Accomplish a Manipulation Task
  • Experimenting with haptic interfaces
  • Controlling a serial robot ABB IRB 120
  • Control of the Micro Delta Direct Drive robot
  • LiniX, linear axis, assembly and control

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, highly noisy and multi dimensional data