| Year | Student's name | Project title |
| 2020 | Primož Prevc | Modelling other agents using oneself in multiagent reinforcement learning |
| 2020 | Jan-Ove Wiesner | Cognitive abilities for human-robot collaboration on a block manipulation task |
| 2019 | Rebecca Varga | Hand pose recognition using artificial neural networks |
| 2018 | Benjamin Fele, Lenart Motnikar | Object grasping with a robotic arm using reinforcement learning |
| 2018 | Aleš Žagar | A connectionist model of spatial relations |
| 2018 | Anna Riedl | Making sense of the cognitive science(s) |
| 2017 | Tim Reinboth, Tomaz Babic | On the emergence of abstraction |
| 2016 | Tine Kolenik, Jan Jug, Andre Ofner | Development of abstract thinking: Enactive approach to visuo-spatial mental imagery |
| 2015 | Alexander Khosrov Grigoryan | A review of recent experimental findings in using neurofeedback to improve motor function |
| 2014 | Dominic Reichl | Using OpenViBE to test a brain-computer interface based on motor imagery |
| 2013 | André Hoffmann | Using common spatial patterns for EEG feature selection |
| 2013 | Soheil Khosravipour | Self-awareness and user-awareness through theory of mind and empathy |
| 2013 | Tobias Schoeberl | Human, animal and non-animate point-light motion: Effects on EEG mu-rhythm suppression |
| 2012 | Gabriella Daróczy | Measuring the EEG mu-rhythm desynchronization associated with motor actions |
| 2011 | Raphael Deimel | Making sense - An integrative view on understanding action and observation |
| 2010 | Christian Papauschek | Autonomous learning and exploration |
| 2009 | Stephanie Schreitter | Processing and comprehending meaningless sentences |