作者: Carlo Pinciroli , Yicong Xu , Jayam Patel
DOI:
关键词: Granularity 、 Swarm behaviour 、 Robot 、 GRASP 、 Human–computer interaction 、 Augmented reality 、 Interface (computing) 、 Modality (human–computer interaction) 、 Computer science
摘要: We present an augmented reality human-swarm interface that combines two modalities of interaction: environment-oriented and robot-oriented. The modality allows the user to modify environment (either virtual or physical) indicate a goal attain for robot swarm. robot-oriented makes it possible select individual robots reassign them other tasks increase performance remedy failures. Previous research has concluded interaction might prove more difficult grasp untrained users. In this paper, we report study which indicates that, at least in collective transport, is effective than purely interaction, combined achieve remarkable efficacy.