Acquiring task models for imitation learning through games with a purpose. - Lars Kunze; Andrei Haidu; Michael Beetz (IROS, 2013)

Learning task outcome prediction for robot control from interactive environments. - Andrei Haidu; Daniel Kohlsdorf; Michael Beetz (IROS, 2014)

Robots, Pancakes, and Computer Games: Designing Serious Games for Robot Imitation Learning. - Benjamin Walther-Franks; Jan D. Smeddinck; Peter Szmidt; Andrei Haidu; Michael Beetz; Rainer Malaka (CHI, 2015)

Learning action failure models from interactive physics-based simulations. - Andrei Haidu; Daniel Kohlsdorf; Michael Beetz (IROS, 2015)

Open robotics research using web-based knowledge services. - Michael Beetz; Daniel Beßler; Jan Oliver Winkler; Jan-Hendrik Worch; Ferenc Balint-Benczedi; Georg Bartels; Aude Billard; Asil Kaan Bozcuoglu; Zhou Fang; Nadia Figueroa; Andrei Haidu; Hagen Langer; et al. (ICRA, 2016)

Action recognition and interpretation from virtual demonstrations. - Andrei Haidu; Michael Beetz (IROS, 2016)

Know Rob 2.0 - A 2nd Generation Knowledge Processing Framework for Cognition-Enabled Robotic Agents. - Michael Beetz; Daniel Beßler; Andrei Haidu; Mihai Pomarlan; Asil Kaan Bozcuoglu; Georg Bartels (ICRA, 2018)

KnowRobSIM - Game Engine-Enabled Knowledge Processing Towards Cognition-Enabled Robot Control. - Andrei Haidu; Daniel Beßler; Asil Kaan Bozcuoglu; Michael Beetz (IROS, 2018)

Cognition-enabled Framework for Mixed Human-Robot Rescue Teams. - Fereshta Yazdani; Gayane Kazhoyan; Asil Kaan Bozcuoglu; Andrei Haidu; Ferenc Balint-Benczedi; Daniel Beßler; Mihai Pomarlan; Michael Beetz (IROS, 2018)

Automated Models of Human Everyday Activity based on Game and Virtual Reality Technology. - Andrei Haidu; Michael Beetz (ICRA, 2019)

Cut & recombine: reuse of robot action components based on simple language instructions. - Minija Tamosiunaite; Mohamad Javad Aein; Jan-Matthias Braun; Tomas Kulvicius; Irena Markievicz; Jurgita Kapociute-Dzikiene; Rita Valteryte; Andrei Haidu; Dimitrios Chrysostomou; Barry Ridge; Tomas Krilavicius; Daiva Vitkute-Adzgauskiene; et al. (Int. J. Robotics Res., 2019)

Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments. - Gayane Kazhoyan; Alina Hawkin; Sebastian Koralewski; Andrei Haidu; Michael Beetz (IROS, 2020)

Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration. - Andrei Haidu; Michael Beetz (ICRA, 2021)

Knowledge-Enabled Generation of Semantically Annotated Image Sequences of Manipulation Activities from VR Demonstrations. - Andrei Haidu; Xiaoyue Zhang; Michael Beetz (ICVS, 2021)

Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations. - Benjamin Alt; Franklin Kenghagho Kenfack; Andrei Haidu; Darko Katic; Rainer Jäkel; Michael Beetz (KR, 2023)