Humans perceive an interaction force through the kinesthetic sense or tactile sense. When
viewing the image, they estimate the interaction force on the basis of pseudo-haptics. The …

Digital recognition of meters aims to identify numbers in complex environments. Existing
methods of digital recognition of meters are dependent on deep networks supported by high …

Teledriving could serve as a practical solution for handling unforeseen situations in
autonomous driving. However, the latency of transmission networks remains a prominent …

In robot-assisted minimally invasive surgery, there is a risk of skin tissue damage or suture
failure at the suture site owing to incomplete tension. To avoid these problems and improve …

Emotions are an effective communication mode during human–human and human–robot
interactions. However, while humans can easily understand other people's emotions, and …

A deep-learning method for real-time video prediction is proposed that overcomes delays in
the transmission of visual information in teleoperation. The proposed method predicts the …

In this study, a vision-based high sampling rate interaction force estimation method is
proposed for teleoperation systems that uses master position and orientation information …

Image generation techniques have made remarkable progress in the digital image
processing and computer vision. However, traditional generation models cannot meet the …

With the development of robot technology, animation drawing robots have gradually
appeared in the public eye. Animation drawing robots can generate many types of images …

Tutkimuksessa tutkittiin visuaalisten taiteilijoiden asenteita tekoälykuvageneraattoreita
kohtaan. Tekoälykuvageneraattorit automatisoivat luovuutta, ja tutkimuksessa selvitettiin …