Comparing Subjective Perceptions of Robot-to-Human Handover Trajectories
Alexander Calvert, Wesley Chan, Tin Tran, Sara Sheikholeslami, Rhys, Newbury, Akansel Cosgun, Elizabeth Croft

TL;DR
This study investigates whether different robot handover trajectories influence human perceptions of safety and naturalness, finding no significant differences among tested trajectories, thus suggesting other factors may play a more critical role.
Contribution
The paper provides empirical evidence that trajectory shape alone does not significantly impact subjective perceptions in robot-to-human handovers.
Findings
No significant differences in safety and naturalness perceptions across trajectories
Subjective perceptions are not affected by trajectory shape alone
Future research should explore other variables like speed and communication signals
Abstract
Robots must move legibly around people for safety reasons, especially for tasks where physical contact is possible. One such task is handovers, which requires implicit communication on where and when physical contact (object transfer) occurs. In this work, we study whether the trajectory model used by a robot during the reaching phase affects the subjective perceptions of receivers for robot-to-human handovers. We conducted a user study where 32 participants were handed over three objects with four trajectory models: three were versions of a minimum jerk trajectory, and one was an ellipse-fitting-based trajectory. The start position of the handover was fixed for all trajectories, and the end position was allowed to vary randomly around a fixed position by 3 cm in all axis. The user study found no significant differences among the handover trajectories in survey questions relating…
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Taxonomy
TopicsSocial Robot Interaction and HRI · AI in Service Interactions · Human-Automation Interaction and Safety
