Grip State Recognition for Enabling Safe Human-Robot Object Handover in Physically Collaborative Construction Work-Reference-Cited by-同舟云学术

Grip State Recognition for Enabling Safe Human-Robot Object Handover in Physically Collaborative Construction Work

Published:2024-01-25 Issue: Volume:236 Page:787-795
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
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Author:

Yu Hongrui¹²²³⁴,Kamat Vineet R.¹²²³⁴,Menassa Carol C.¹²²³⁴,McGee Wes¹²²³⁴,Guo Yijie¹²²³⁴,Lee Honglak¹²²³⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Michigan.

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan.

3. Associate Professor, Taubman College of Architecture and Urban Planning, Univ. of Michigan.

4. Dept. of Electrical Engineering and Computer Science, Univ. of Michigan.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.095

Reference30 articles.

1. Brosque, C., Galbally, E., Khatib, O., and Fischer, M. (2020, June). Human-robot collaboration in construction: Opportunities and challenges. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1–8). IEEE.

2. Chan, W. P., Parker, C. A., Van der Loos, H. M., and Croft, E. A. (2012, March). Grip forces and load forces in handovers: implications for designing human-robot handover controllers. In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction (pp. 9–16).

3. Humans adjust their grip force when passing an object according to the observed speed of the partner’s reaching out movement;Controzzi M.;Experimental brain research,2018

4. Digital ID framework for human-centric monitoring and control of smart buildings

5. Grip-force modulation in human-to-human object handovers: effects of sensory and kinematic manipulations;Döhring F. R.;Scientific Reports,2020

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