A multichannel human-swarm robot interaction system in augmented reality

Abstract

Background

A large number of robots have put forward the new requirements for human-robot interaction. One of the problems in human-swarm robot interaction is how to naturally achieve an efficient and accurate interaction between humans and swarm robot systems. To address this, this paper proposes a new type of human-swarm natural interaction system.

Methods

Through the cooperation between three-dimensional (3D) gesture interaction channel and natural language instruction channel, a natural and efficient interaction between a human and swarm robots is achieved.

Results

First, A 3D lasso technology realizes a batch-picking interaction of swarm robots through oriented bounding boxes. Second, control instruction labels for swarm-oriented robots are defined. The instruction label is integrated with the 3D gesture and natural language through instruction label filling. Finally, the understanding of natural language instructions is realized through a text classifier based on the maximum entropy model. A head-mounted augmented reality display device is used as a visual feedback channel.

Conclusions

The experiments on selecting robots verify the feasibility and availability of the system.

Keyword

Human-swarm interaction ; Augmented reality ; Multichannel integration

Cite this article

Mingxuan CHEN, Ping ZHANG, Zebo WU, Xiaodan CHEN. A multichannel human-swarm robot interaction system in augmented reality. Virtual Reality & Intelligent Hardware, 2020, 2(6): 518-533 DOI:10.1016/j.vrih.2020.05.006

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