Researchers developed a 'waveform movement' technology enabling robots to express emotions through natural facial gestures.
Researchers have unveiled a cutting-edge facial expression synthesis technology that uses “waveform movements” to replicate natural gestures, including breathing, blinking, and yawning, as distinct wave patterns.
Furthermore, changes in internal variables, like mood, can be quickly represented as variations in face motions by incorporating “waveform modulation,” which modifies the individual waveforms dependent on the robot’s internal state. Traditionally, robots with highly movable facial features, such as androids, have relied on a “patchwork method” to display facial expressions over extended periods. This approach involves creating multiple pre-arranged action scenarios and switching between them as needed to avoid unnatural facial movements.
Researchers highlight that it involves synthesizing command sequences using simple nonlinear time functions, such as Gaussian functions, and decaying waveforms that mimic human-like motion patterns.The temporal module uses decaying wave functions to create time-based patterns based on the robot’s internal state, such as excitement or sleepiness, represented by a value between -1 and 1 .
Facial Experssions Facial Movements Humanoid Japan Osaka University Robot Robotics
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