Effective intention communication is critical for trust, predictability, and safety in human–robot collaboration (HRC). We propose that robot intention in HRC is a designed, layered construct that mediates how humans perceive agency and quasi-others (alterity) from robots as collaborators. Robot intention emerges from task goals, user needs, and contextual constraints, and is embodied through interaction, primarily via motion.
By adopting a design-led, participatory approach, including co-design workshops and user studies, this research aims to unveil how robot intention is interpreted and enacted across planning, simulation, and in-situ execution in HRC.
This research’s goal is to develop an intention visualization toolkit that can adapt to diverse HRC scenarios.