Robots that learn to become adaptive, versatile, and autonomous.
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.
What's new in our Lab?
Mar-2021 We are excited to welcome Simon Smit Bize who is joining our lab to work on the project REcoVER
Mar-2021 The project REcoVER will focus on pushing the state of the art of resilient and versatile robots and it will be funded by the EPSRC
Feb-2021 - 5 talented MSc. (Davide, Yuanhai, Alexander, Kevin and Félix) and 2 MEng. (Mike and Robert) Stude are joinging/joined the lab
Oct-2020 - Bryan and Maxime are joining the Lab as PhD students to work on Quality-Diversity and Robotics
Oct-2019 - Manon and Luca will be pursuing their PhD in the AIRLab as Teaching Scholars