Hand and Arm Gesture-based Human-Robot Interaction: A Review

TL;DR

This paper provides a comprehensive review of gesture-based human-robot interaction, covering gesture generation, recognition, and robot response, highlighting current research, challenges, and future directions in creating natural HRI.

Contribution

It offers a systematic overview of gesture-based HRI research, integrating various studies within a unified framework and analyzing their strengths and weaknesses.

Findings

Summarizes current research status in gesture generation, recognition, and response.

Identifies key challenges and limitations in gesture-based HRI.

Suggests future research directions for more natural and effective human-robot communication.

Abstract

The study of Human-Robot Interaction (HRI) aims to create close and friendly communication between humans and robots. In the human-center HRI, an essential aspect of implementing a successful and effective HRI is building a natural and intuitive interaction, including verbal and nonverbal. As a prevalent nonverbally communication approach, hand and arm gesture communication happen ubiquitously in our daily life. A considerable amount of work on gesture-based HRI is scattered in various research domains. However, a systematic understanding of the works on gesture-based HRI is still lacking. This paper intends to provide a comprehensive review of gesture-based HRI and focus on the advanced finding in this area. Following the stimulus-organism-response framework, this review consists of: (i) Generation of human gesture(stimulus). (ii) Robot recognition of human gesture(organism). (iii) Robot reaction to human gesture(response). Besides, this review summarizes the research status of each element in the framework and analyze the advantages and disadvantages of related works. Toward the last part, this paper discusses the current research challenges on gesture-based HRI and provides possible future directions.