His AI can recognise objects using an artificial sense of touch. While still in its early days he thinks that training AI to sense its environment and move around is potentially very powerful.
"The AI opens up much more general ways of learning how to control rather than, if you like, handcrafting simple controllers. That's the difference. And that's what the deep reinforcement learning opens up.
"And deep reinforcement learning also gives the capability to use much more complex sensory inputs as well, for that control."
However, it's not going to be easy to train an AI that can control a humanoid robot, equipped with all sorts of different sensors.
"The level of mechanical engineering [involved in] building these robots has kind of gone past our capability to control them, because they're so complicated. And that's the problem that's getting cracked at the moment," says Prof Lepora.