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JRM Vol.34 No.6 pp. 1441-1450
doi: 10.20965/jrm.2022.p1441
(2022)

Paper:

Inspection of the Most Suitable Approach and Information Projection Method for Interactions in the Night Flight of a Projector-Mounted Drone

Ryosuke Kakiuchi, Dinh Tuan Tran, and Joo-Ho Lee

Graduate School of Information Science and Engineering, Ritsumeikan University
1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan

Received:
February 14, 2022
Accepted:
August 19, 2022
Published:
December 20, 2022
Keywords:
drone, human-robot interaction, guard robot, projector
Abstract
Inspection of the Most Suitable Approach and Information Projection Method for Interactions in the Night Flight of a Projector-Mounted Drone

Projection from the sky by drone

Security is considered heavy labor work owing to night shifts and long working hours. In recent years, the number of security guards has been increasing, and the labor shortage for security guards has become a problem in Japan. To overcome these problems, robots have been used for security purposes. However, most are unable to interact with users or guards at night. In this study, a drone called aerial ubiquitous display (AUD) is proposed to improve the problems of existing security methods using robots and to provide night security. The AUD enables human-drone interaction and night security. Moreover, when an AUD interacts with humans, the drone must come close to the human and project information on the ground. Therefore, this study investigated the optimal parameters for a projector-equipped drone to approach a human at night. In addition, by comparing these results with those of the day approach, we verified whether there would be a change in perception between daytime and nighttime. Furthermore, an experiment was conducted to investigate the types of projections that are most likely to capture a user’s attention.

Cite this article as:
R. Kakiuchi, D. Tran, and J. Lee, “Inspection of the Most Suitable Approach and Information Projection Method for Interactions in the Night Flight of a Projector-Mounted Drone,” J. Robot. Mechatron., Vol.34, No.6, pp. 1441-1450, 2022.
Data files:
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