Daniel Angelov

PhD Student Robotics and AI

University of Edinburgh

Making actual robots smarter.

Researching how just a few expert demonstrations, alongside a causal view of the world, can be used to learn difficult, yet robust and safe, long-horizon behaviours for agents. Using hierarchical learning as a tool for the robot to understand the underlying problem structure. Pushing towards interpretable, explainable, cause-effect based machine learning for robotics.

PhD student at the Robust Autonomy and Decisions group, part of the Insitute for Perception, Action and Behaviour at the University of Edinburgh. I am supervised by Dr. Subramanian Ramamoorthy and Dr. Kartic Subr.

Building robots and liquid rocket engines.


  • Artificial Intelligence
  • Causality
  • Robotics
  • Computer Vision


  • PhD in Robotics and Autonomous Systems, 2020

    University of Edinburgh

  • MEng in Robotics, 2015

    University of Reading