321 citations · 364 across the 8 of their papers we have counts for
5 papers · 1 filter
Nonverbal Social Behavior Generation for Social Robots Using End-to-End Learning
Woo-Ri Ko, Minsu Jang, Jaeyeon Lee +1
To provide effective and enjoyable human-robot interaction, it is important for social robots to exhibit nonverbal behaviors, such as a handshake or a hug. However, the traditional…
AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots
Woo-Ri Ko, Minsu Jang, Jaeyeon Lee +1
To better interact with users, a social robot should understand the users' behavior, infer the intention, and respond appropriately. Machine learning is one way of implementing rob…
ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly
Jinhyeok Jang, Dohyung Kim, Cheonshu Park +3
Deep learning, based on which many modern algorithms operate, is well known to be data-hungry. In particular, the datasets appropriate for the intended application are difficult to…
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection
Woo-han Yun, Taewoo Kim, Jaeyeon Lee +2
Training an object instance detector where only a few training object images are available is a challenging task. One solution is a cut-and-paste method that generates a training d…
Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots
Youngwoo Yoon, Woo-Ri Ko, Minsu Jang +3
Co-speech gestures enhance interaction experiences between humans as well as between humans and robots. Existing robots use rule-based speech-gesture association, but this requires…