Aude Billard

Aude Billard is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the EE department. Her research is conducted within the Learning Algorithms and Systems Laboratory. She is involved in teaching and supervising PhD students, with courses including Kinematics grounded motion planning for robots, Machine learning I, and Robotics practicals. Her expertise spans Machine Learning, Robotics, Mechatronics, Dynamical Systems, and Computational Neuroscience.

Aude Billard is a Full Professor at EPFL, specializing in Robotics, Machine Learning, and Human-Robot Interaction. Her research focuses on Robot Learning, Programming by Demonstration, and the development of humanoid robots for therapeutic and educational applications. Billard's work explores how robots can learn tasks through imitation, including gesture learning, dynamical system approaches, and safe human-robot interactions. She investigates methods for robotic assistants in autism therapy and emphasizes stability in control systems for robot reaching and obstacle avoidance. Her research also addresses tactile interactions and collective robotics, aiming to enhance collaboration through local interactions.