Emanuele De Pellegrin (cohort student representative)

Research project title: 
Learning Epistemic Actions Effects in a Human Collaborative Environment
Research project: 

This project will explore the problem of learning epistemic 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, Ranging from the application of computer vision for human activity recognition to the high-level automated planning to achieve autonomy in a human collaborative environment.
Applications to real-world robot scenarios will also be explored, in particular in the Robotic Assisted Living Testbed (RALT) at Heriot-Watt University.

About me: 

I'm a PhD student in the Edinburgh Centre for Robotics (ECR) at Heriot-Watt University. I received a BSc in Chemistry from La Sapienza University of Rome in 2016, and an MSc in Artificial Intelligence from Heriot-Watt University in 2020 with a scholarship from The Data Lab.
I entered the ECR’s PhD program in Robotics and Autonomous Systems in 2020/2021 with research interests in plan visualisation, epistemic planning, multiagent planning, and human-robot interaction. My current PhD work is focused on learning epistemic action effects for planning in a human collaborative environment.
With interest in robotics research, I have had internships on projects in the Computer Vision Lab at Heriot-Watt University and on the ORCA Hub project. I'm also interested in applying AI to video game development, particularly the use of automated planning techniques for games.