3 accepted papers
Nonverbal communication through expressive robot motion significantly enhances human-robot interaction (HRI), yet designing motions that are both individually legible and collectively distinguishable remains challenging. Existing large language model (LLM)-based methods can successfully generate exp
Expressive robot motion is a form of nonverbal communication that enables robots to convey their internal states, fostering effective human-robot interaction. A key step in designing expressive robot motions is developing a mapping from the desired states the robot will express to the robot's hardwa
Collaborative robots must effectively communicate their internal state to humans to enable a smooth interaction. Nonverbal communication is widely used to communicate information during human-robot interaction, however, such methods may also be misunderstood, leading to communication errors. In this