We combine Machine Learning and robots to allow them to adapt to malfunctions and disturbances from the world we live in!
The presence of robots in our lives increases gradually, and advances from Machine Learning and AI are usually applied to vision, audio and data mining. We believe that physical machines can also profit from this "intelligence" and better adapt to sources of noise/disturbance within our reality. Our applications range from optimization of industrial manipulators to the cooperative/competitive learning of robots while performing tasks.
Selected Conference Articles