Elisabeth Morant
Papers
1
Total Citations
57
H-Index
1
About
Elisabeth Morant is a pioneering researcher at the intersection of human-robot interaction (HRI) and crowdsourcing, whose work has fundamentally reshaped how robots learn from and engage with people. Her most influential contribution, the 2011 paper "Crowdsourcing human-robot interaction: Application from virtual to physical worlds" (57 citations), introduced a groundbreaking paradigm: using online games to generate large-scale, diverse interaction data for training social robots. This approach bridged the gap between controlled lab studies and real-world deployment, enabling robots to develop more natural, adaptive behaviors by learning from thousands of anonymous human players. Morant’s key research areas include social robotics, crowdsourced data collection, and the transfer of virtual interactions to physical robotic systems. Her work has been instrumental in democratizing HRI research, making it scalable and accessible beyond traditional robotics labs. By demonstrating that virtual crowdsourcing can effectively inform physical robot behavior, she has opened new pathways for developing robots that interact seamlessly with broad populations. Morant’s innovative methodology continues to inspire researchers seeking to build more socially intelligent machines, cementing her role as a visionary in the field.
Research Focus
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Top Papers
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