← Search

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 2Source ↗Scholar ↗
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 3Source ↗Scholar ↗
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 14Source ↗Scholar ↗
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 22Source ↗Scholar ↗