
Robots that learn to become adaptive, versatile, and autonomous.
About us
The objective of our lab is to improve the algorithmic foundations of learning algorithms to increase the versatility, resilience and autonomy of physical robots. Our motivation is that robots have the potential to deliver tremendous benefits to society, but they currently only operate in well controlled environment, like factories or warehouses. One of the main reasons for that is that engineers and developers cannot anticipate all the situations that the robots will face when operating in an uncontrolled environment. In the Adaptive & Intelligent Robotics Lab, we develop learning algorithms that enable physical robots to autonomously adapt to new and unforeseen situations, like a new environment, a new task or even a mechanical damage. Our research encompass several topic areas of machine learning and robotics, like reinforcement learning, evolutionary algorithms, deep neural networks, bayesian optimisation, unsupervised learning and optimal control.
Lab news
All News12 March 2021
Simón joins the AIRL-Lab as a Post-Doc!18 December 2020
New Quality-Diversity Book Chapter on Arxiv05 October 2020
Welcoming Maxime and Bryan to our lab!07 October 2019
Welcoming Manon and Luca to our Lab!