Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots-Reference-Cited by-同舟云学术

Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots

Published:2022-05 Issue:3 Volume:36 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Adami Pooya¹^ORCID,Rodrigues Patrick B.¹^ORCID,Woods Peter J.²^ORCID,Becerik-Gerber Burcin³^ORCID,Soibelman Lucio⁴^ORCID,Copur-Gencturk Yasemin⁵,Lucas Gale⁶

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089. ORCID: .

2. Postdoctoral Researcher, Rossier School of Education, Univ. of Southern California, Los Angeles, CA 90089. ORCID: .

3. Dean’s Professor of Civil and Environmental Engineering, Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089 (corresponding author). ORCID: .

4. Professor of Civil and Environmental Engineering and Spatial Sciences Institute, Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089. ORCID: .

5. Assistant Professor of Education, Rossier School of Education, Univ. of Southern California, Los Angeles, CA 90089.

6. Research Assistant Professor, USC Institute for Creative Technologies, Univ. of Southern California, Los Angeles, CA 90094-2536.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0001016

Reference108 articles.

1. Adami P. T. Doleck B. Becerik-Gerber Y. Copur-Gencturk L. Soibelman and G. Lucas. 2020. “An immersive virtual learning environment for worker-robot collaboration on construction sites.” In Proc. 2020 Winter Simulation Conf. (WSC) 2400–2411. New York: IEEE.

2. Cyber-physical postural training system for construction workers

3. Evaluation of hydraulic excavator Human–Machine Interface concepts using NASA TLX

4. Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality

5. Association for Advancing Automation. 2020. “Demolition robots disrupt a labor-intensive industry.” Accessed January 15 2021. https://www.automate.org/a3-content/service-robots-demolition.

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