Chapter
Jan 25, 2024

Collaborative Virtual Training with Embodied Physics and Haptic Feedback: Construction Manual Material Handling as an Example

Publication: Computing in Civil Engineering 2023

ABSTRACT

Collaborative motor tasks involving motion corporations among different human operators are commonly seen in many working scenarios, such as surgery operation, fabrication assembly, health care, and material handling. Although virtual training for these tasks has been discussed along with the advancement of communication technologies, few studies have examined the technical procedures and theoretical background of integrating embodied physics and haptic feedback with the virtual training of collaborative motor tasks. In this study, we choose collaborative material handling as an example to implement embodied physics in virtual training for collaborative motor tasks. Multi-player virtual reality (VR) environment is developed to establish a real-time training environment between geographically distributed operators. The virtual materials and environment are synchronized via a cloud server, creating a homogeneous context for the collaboration task. Geographically distributed operators can interact with the virtual environment by controlling a whole-body tracked virtual operator to report or move hazards and complete the material handling task as a team. In addition, the feeling of physical contact can be enhanced with haptic feedback. A pilot test shows that the collaborative training environment enhances safety awareness and degree of engagement. Meanwhile, simulated embodied physics can effectively bridge the gap between virtual and real training scenarios and enhance the task-learning experience.

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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 36 - 44

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Published online: Jan 25, 2024

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Yang Ye, S.M.ASCE [email protected]
1Ph.D. Student, Informatics, Cobots, and Intelligent Construction Laboratory, Dept. of Civil and Coastal Engineering, Univ. of Florida. Email: [email protected]
Fang Xu, S.M.ASCE [email protected]
2Ph.D. Student, Informatics, Cobots, and Intelligent Construction Laboratory, Dept. of Civil and Coastal Engineering, Univ. of Florida. Email: [email protected]
Jing Du, Ph.D., M. ASCE [email protected]
3Associate Professor, Informatics, Cobots, and Intelligent Construction Laboratory, Dept. of Civil and Coastal Engineering, Univ. of Florida. Email: [email protected]

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