Bootstrapping humanoid robot skills by extracting semantic representations of human-like activities from virtual reality

By Karinne Ramírez-Amaro, Tetsunari Inamura, E. Dean-León, Michael Beetz, Gordon Cheng. 2014

21 citations recorded by the source corpus.

How researchers see this paper

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Simitate: A Hybrid Imitation Learning Benchmark (2019, methodology): “virtual reality approaches have been used for learning new activities by demonstration [26], [27].”
On-line simultaneous learning and recognition of everyday activities from virtual reality performances (2017, unknown): “demonstrated high-level action recognition and learning in a virtual environment [3] which produced a skill representation transferable to physical robots.”
Cloud-based multimodal human-robot interaction simulator utilizing ROS and unity frameworks (2017, methodology): “Our previous system (SIGVerse ver.2 [12]) has been utilized for studies such as analysis of human behavior [14], [15], learning of spatial concepts [16], [17], and VR-based rehabilitation [18].”