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Table of Contents
Annotated Bibliography for HTC Vive-HRI Project
Author: Keitaro Nishimura Email: nishik1@unlv.nevada.edu
Date: Last modified on 05/03/17
Keywords: HTC Vive, HRI, Relevant Papers
Papers
Papers as of 05/03/17 (pw is std)
HRI papers
Annotated References
1. HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer
Publisher:2017 Applied Ergonomics
Keywords: HRI, Real-time Teleoperation, Hardware/software Comparison
APA Citation:
Adamides, G., Katsanos, C., Parmet, Y., Christou, G., Xenos, M., Hadzilacos, T., & Edan, Y. (2017). HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer. Applied Ergonomics, 62, 237-246. doi:10.1016/j.apergo.2017.03.008
This paper describes the usage of Human-Robot Interface (HRI) for usage in semi-autonomous agricultural robots, specifically spraying robots. The authors present experiments to compare various HRI designs. From this presentation, the paper concludes that the usage of HRI for semi-autonomous agriculture robots during detection of crops drastically improves accuracy.
From the state-of-the-art, the paper identifies challenges in autonomous crop identification for spraying. The paper addresses these challenges by creating an HRI to allow humans to identify and spray crops. The results of this approach are novel.
The paper presents the following theoretical principles: 1) That for complicated and irregular tasks as identifying crops on a plant, human teleoperation is the most efficient and accurate; and 2) Based on the task the best HRI is different for output and input. These were clearly described in the paper.
The principles are explained well. For example, table 1-2 show the correct application of the principles.
From the principles and results, the paper concludes: 1) Usage of humans for identifying and spraying crops was more accurate than without; 2) The best input for the HRI was the keyboard; 3) the best output was multiple camera views; and 3) that the type of screen output only affected the perceived workload index and had no effect on the actual task.
Keitaro Nishimura liked this paper because it showed that the usage of commercially available hardware was viable, it gave detailed comparisons between the different HRI models they had, it had a large pool of people to get data from.
Three things I learned from this paper were: (1) The state-of-the-art of HRI (2) Commnication management in