Examining the legibility of humanoid robot arm movements in a pointing task

Abstract

How do humans understand what a robot is about to do? Paper of common UKBA and IIT team explores how gaze and pointing cues help people predict a robot’s intentions while its movements are incomplete. Using the NICO humanoid robot, we show that combining gaze with pointing makes robot actions clearer (multimodal superiority), while gaze alone offers the fastest clue (oculomotor primacy). These findings shed light on designing robots whose actions are not only precise but also legible – making human-robot collaboration safer, smoother, and more intuitive.

Publication
16th International Conference on Social Robotics
Andrej Lúčny
Andrej Lúčny
WP3 Researcher
Carlo Mazzola
Carlo Mazzola
WP3 Researcher
Hana Hornáčková
Hana Hornáčková
WP3 Researcher
Igor Farkaš
Igor Farkaš
Project Coordinator, Transformation Lead Expert, WP5 Systematic Development of People Leader