Research Projects

Learning Inverse Dynamics Models

• Data-driven approaches (Neural Networks, Gaussian Processes)

Few Shot Learning for Robot Control

• Online learning
• Generalisation

Weakly Supervised Learning for Robotics (previous work)

• Combining regional-convolutional neural networks with matrix completion for language grounding

Application of Machine Learning to Gastronomy

• Recommender systems for the food industry