2 citations · 2 across the 2 of their papers we have counts for
4 papers
SIGVerse: A cloud-based VR platform for research on social and embodied human-robot interaction
Tetsunari Inamura, Yoshiaki Mizuchi
Common sense and social interaction related to daily-life environments are considerably important for autonomous robots, which support human activities. One of the practical approa…
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi +1
Robots are required to not only learn spatial concepts autonomously but also utilize such knowledge for various tasks in a domestic environment. Spatial concept represents a multim…
Learning multimodal representations for sample-efficient recognition of human actions
Miguel Vasco, Francisco S. Melo, David Martins de Matos +2
Humans interact in rich and diverse ways with the environment. However, the representation of such behavior by artificial agents is often limited. In this work we present \textit{m…
Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping
Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi +1
We propose a novel online learning algorithm, called SpCoSLAM 2.0, for spatial concepts and lexical acquisition with high accuracy and scalability. Previously, we proposed SpCoSLAM…