Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust

Frontiers in Robotics and AI

Robotics and AI

Yifei Zhang¹  Thomas Doyle² 

[1] Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada;Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada;School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada;Vector Institute for Artificial Intelligence, Toronto, ON, Canada;

关键词: sensor;    algorithm;    intention (intent);    trust;    intention-based system;   

DOI  :  10.3389/frobt.2023.1233328

 received in 2023-06-01, accepted in 2023-09-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

The increasing adoption of robot systems in industrial settings and teaming with humans have led to a growing interest in human-robot interaction (HRI) research. While many robots use sensors to avoid harming humans, they cannot elaborate on human actions or intentions, making them passive reactors rather than interactive collaborators. Intention-based systems can determine human motives and predict future movements, but their closer interaction with humans raises concerns about trust. This scoping review provides an overview of sensors, algorithms, and examines the trust aspect of intention-based systems in HRI scenarios. We searched MEDLINE, Embase, and IEEE Xplore databases to identify studies related to the forementioned topics of intention-based systems in HRI. Results from each study were summarized and categorized according to different intention types, representing various designs. The literature shows a range of sensors and algorithms used to identify intentions, each with their own advantages and disadvantages in different scenarios. However, trust of intention-based systems is not well studied. Although some research in AI and robotics can be applied to intention-based systems, their unique characteristics warrant further study to maximize collaboration performance. This review highlights the need for more research on the trust aspects of intention-based systems to better understand and optimize their role in human-robot interactions, at the same time establishes a foundation for future research in sensor and algorithm designs for intention-based systems.

【 授权许可】

Unknown   
Copyright © 2023 Zhang and Doyle.