Emanuele De Pellegrin (cohort student representative)

Research project title: 
Learning PDDL Domain Actions from Interaction with Robots
Research project: 

This project will explore the problem of learning action models suitable for planning from interactions with physical or simulated robots acting in complex environments. The project will investigate a range of learning techniques and data from sources like robot vision and situated action effects. Applications to real-world robot scenarios will also be explored.

Supervisor: 
Student type: 
Current student