10 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
Learning from Demonstration (LfD) is a powerful type of machine learning that can allow novices to teach robots to complete various tasks. However, the learning process for these systems may still be difficult for novices to interpret and understand, making effective teaching challenging. Explainabl
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
Learning from Demonstration (LfD) seeks to democratize robotics by enabling non-expert end-users to teach robots. However, most LfD techniques assume users provide optimal demonstrations, which may not be accurate. Demonstration quality plays a crucial role in robot learning and generalization. Henc
Mobile robots have recently been deployed in public spaces such as shopping malls, airports, and urban sidewalks. Most of these robots are designed with human-aware motion planning capabilities but are not designed to communicate with pedestrians. Pedestrians that encounter these robots without prio
Mobile robots are increasingly being deployed in public spaces such as shopping malls, airports, and urban sidewalks. Most of these robots are designed with human-aware motion planning capabilities but are not designed to communicate with pedestrians. Pedestrians encounter these robots without prior…
The use of immersive Virtual Reality (VR) for studying Human-Robot Interaction (HRI) offers many benefits, including decreased cost and risk as well as increased experimental control and repeatability. Previous work has shown that people reliably underestimate distances in VR; however, the effect of…
To enable robots to learn handover orientations from observing natural handovers, we conduct a user study to measure and compare natural handover orientations with giver-centered and receiver-centered handover orientations for twenty common objects. We use a distance minimization approach to compute…
In this work we explore the effectiveness of a three-fingered robotic gripper in accurately expressing directional instructions (move up, down, left, right) as gestures emulating human hand gestures. Such gestures can be necessary in noisy manufacturing environments where verbal communication is ine…