Roy de Kleijn, MSc

  • PhD-candidate
  • Cognitive robotics, Computational modelling, Artificial intelligence

Telephone number: +31 (0)71 527 3915
Faculty / Department: Faculteit der Sociale Wetenschappen, Instituut Psychologie, Cognitieve Psychologie
Office Address: Pieter de la Court gebouw
Wassenaarseweg 52
2333 AK Leiden
Room number 2B15
Personal Homepage:

I received my undergraduate degree at Leiden University in 2009, and my graduate degree in 2011 having majored in Cognitive Neuroscience and Artificial Intelligence. I graduated on my thesis Computational modeling of individual differences using stochastic information accumulation models, supervised by Jay McClelland at Stanford University.

Currently I am a PhD candidate working on an EU-funded research project RoboHow.Cog: Web-enabled and experience-based cognitive robots that learn complex everyday manipulation tasks. The supervision of my PhD and this project at Leiden University is in the hands of Bernhard Hommel. My PhD research is focused on developing computational models of cognition for possible use in robotic systems. In addition, I am trying to integrate and extend the available psychological work on the planning and control of everyday actions, including the programming and monitored execution of action sequences, tool use, and representation of the agent, and his or her effectors and body.

My other lines of research focus on the computational modeling of attentional and perceptual processes, together with Sander Nieuwenhuis, and community detection algorithms in large-scale networks together with Rutger Goekoop.


Robohow is a four-year European research project that started in February 2012. It aims at enabling robots to competently perform everyday human-scale manipulation activities - both in human working and living environments. In order to achieve this goal, Robohow pursues a knowledge-enabled and plan-based approach to robot programming and control. The vision of the project is that of a cognitive robot that autonomously performs complex everyday manipulation tasks and extends its repertoire of such by acquiring new skills using web-enabled and experience-based learning as well as by observing humans.


Professor B. Hommel

Last Modified: 24-03-2016