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Carlos T. Ishi

5 accepted papers

2024

Retargeting Human Facial Expression to Human-like Robotic Face through Neural Network Surrogate-based Optimization

IROS 2024poster

Facial mimicry is crucial for human-like robots in human-robot interaction. The challenge is that the high diversity of facial expressions proposes difficulties in programming a robotic face to mimic human facial expressions using traditional methods. In this paper, we present a data-driven method t…

Cited by 2SourceScholar
2022

Controlling the Impression of Robots via GAN-based Gesture Generation

IROS 2022poster

As a type of body language, gestures can largely affect the impressions of human-like robots perceived by users. Recent data-driven approaches to the generation of co-speech gestures have successfully promoted the naturalness of produced gestures. These approaches also possess greater generalizabili…

Cited by 3SourceScholar
2016

Motion generation in android robots during laughing speech

IROS 2016poster

We are dealing with the problem of generating natural human-like motions during speech in android robots, which have human-like appearances. So far, automatic generation methods have been proposed for lip and head motions of tele-presence robots, based on the speech signal of the tele-operator. In t…

Cited by 14SourceScholar
2015

Speech activity detection and face orientation estimation using multiple microphone arrays and human position information

IROS 2015poster

We developed a system for detecting the speech activity intervals of multiple speakers by combining multiple microphone arrays and human tracking technologies. We also proposed a method for estimating the face orientation of the detected speakers. The developed system was evaluated in two steps: ind…

Cited by 22SourceScholar