Crossing the Uncanny Valley: Breakthrough in technology for lifelike facial expressions in androids
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Crossing the Uncanny Valley: Breakthrough in technology for lifelike facial expressions in androids

23/12/2024 Osaka University

A research group led by Osaka University has developed a technology that allows androids to dynamically express their mood states, such as “excited” or “sleepy,” by synthesizing facial movements as superimposed decaying waves.

Osaka, Japan – Even if an android's appearance is so realistic that it could be mistaken for a human in a photograph, watching it move in person can feel a bit unsettling. It can smile, frown, or display other various, familiar expressions, but finding a consistent emotional state behind those expressions can be difficult, leaving you unsure of what it is truly feeling and creating a sense of unease.

Until now, when allowing robots that can move many parts of their face, like androids, to display facial expressions for extended periods, a 'patchwork method' has been used. This method involves preparing multiple pre-arranged action scenarios to ensure that unnatural facial movements are excluded while switching between these scenarios as needed.

However, this poses practical challenges, such as preparing complex action scenarios beforehand, minimizing noticeable unnatural movements during transitions, and fine-tuning movements to subtly control the expressions conveyed.

In this study, lead author Hisashi Ishihara and his research group developed a dynamic facial expression synthesis technology using “waveform movements,” which represents various gestures that constitute facial movements, such as “breathing,” “blinking,” and “yawning,” as individual waves. These waves are propagated to the related facial areas and are overlaid to generate complex facial movements in real time. This method eliminates the need for the preparation of complex and diverse action data while also avoiding noticeable movement transitions.

Furthermore, by introducing “waveform modulation,” which adjusts the individual waveforms based on the robot's internal state, changes in internal conditions, such as mood, can be instantly reflected as variations in facial movements.

“Advancing this research in dynamic facial expression synthesis will enable robots capable of complex facial movements to exhibit more lively expressions and convey mood changes that respond to their surrounding circumstances, including interactions with humans,” says senior author Koichi Osuka. “This could greatly enrich emotional communication between humans and robots."

Ishihara adds, “Rather than creating superficial movements, further development of a system in which internal emotions are reflected in every detail of an android's actions could lead to the creation of androids perceived as having a heart."

By realizing the function to adaptively adjust and express emotions, this technology is expected to significantly enhance the value of communication robots, allowing them to exchange information with humans in a more natural, humanlike manner.



Movie: Introduction video of automatic generation of dynamic arousal expression on an android robot face
Original content, Credit must be given to the creator., Hisashi Ishihara

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The article, “Automatic generation of dynamic arousal expression based on decaying wave synthesis for robot faces,” was published in Journal of Robotics and Mechatronics at DOI: https://doi.org/10.20965/jrm.2024.p1481

Title: Automatic generation of dynamic arousal expression based on decaying wave synthesis for robot faces
Journal: Journal of Robotics and Mechatronics
Authors: Hisashi Ishihara, Rina Hayashi, Francois Lavieille, Kaito Okamoto, Takahiro Okuyama, Koichi Osuka
DOI:10.20965/jrm.2024.p1481
Funded by: Japan Society for the Promotion of Science
Fichiers joints
  • Fig. 1 Proposed system, Original content, Credit must be given to the creator., Hisashi Ishihara
  • Fig. 2 Snapshots of realized sleepy mood expression on a child android robot, Original content, Credit must be given to the creator., Hisashi Ishihara
23/12/2024 Osaka University
Regions: Asia, Japan
Keywords: Applied science, Artificial Intelligence

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