51 citations · 161 across the 8 of their papers we have counts for
8 papers
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
This paper presents a new data-driven framework for analyzing periodic physical human-robot interaction (pHRI) in latent state space. To elaborate human understanding and/or robot…
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…
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi +1
In this paper, we propose an online learning algorithm based on a Rao-Blackwellized particle filter for spatial concept acquisition and mapping. We have proposed a nonparametric Ba…
Bayesian Body Schema Estimation using Tactile Information obtained through Coordinated Random Movements
Tomohiro Mimura, Yoshinobu Hagiwara, Tadahiro Taniguchi +1
This paper describes a computational model, called the Dirichlet process Gaussian mixture model with latent joints (DPGMM-LJ), that can find latent tree structure embedded in data…
Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences
Akira Taniguchi, Tadahiro Taniguchi, Tetsunari Inamura
In this paper, we propose a novel unsupervised learning method for the lexical acquisition of words related to places visited by robots, from human continuous speech signals. We ad…