Marije Merckens
Papers
1
Total Citations
7
H-Index
1
About
Marije Merckens is a researcher at the intersection of human-robot interaction (HRI) and machine learning, with a focus on how robots can learn social behaviors through natural, playful engagement. Her most notable contribution is the development of a large-scale gesture dataset, collected through an innovative "Charades" game with a humanoid robot. This work, published in 2019 and cited 7 times, demonstrates a paradigm where robots learn to produce and recognize human gestures not through pre-programmed rules, but through direct, interactive play with human participants. By designing this HRI framework, Merckens has provided the research community with a valuable, ecologically valid resource for studying non-verbal communication in robotics. Her approach emphasizes embodied, interactive learning over passive observation, making her work a key reference for researchers exploring how robots can acquire social skills in real-world, human-centered contexts.
Research Focus
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Top Papers
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