ABSTRACT

Robot teleoperation has gained popularity in a variety of construction applications. A significant challenge of robot teleoperation is the disconnection between the robotic perception and the human operator’s sensory processes, creating a sensorimotor mismatch in motor-intensive activities. As a result, recent robot teleoperation literature has started investigating haptic interactions in the feedback and control loop. Haptics, including the feeling of force, motion, and vibrations, have been proven helpful for accurately perceiving task status and physical systems with heavy motions and enabling precision operations. However, the current haptic simulation methods are oversimplified and hard to provide a comprehensive, realistic, and complete simulation of the physical interaction that occurs in typical construction operations. This study aims to test a comprehensive, high-fidelity physical rendering method that simulates complete real-world physical processes via the physics engine. The proposed method captures all categories of physical interaction in typical motor-intensive construction tasks, including weight force, texture force, inertia force, and impact force. The result shows that the proposed method builds a digital twin model of real physical processes to facilitate intuitive robot teleoperation.

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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 496 - 504

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Published online: Jan 25, 2024

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Tianyu Zhou, Ph.D., S.M.ASCE [email protected]
1Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL. Email: [email protected]
Pengxiang Xia, S.M.ASCE [email protected]
2Ph.D. Candidate, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL. Email: [email protected]
Yang Ye, S.M.ASCE [email protected]
3Ph.D. Candidate, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL. Email: [email protected]
Jing Du, Ph.D., M.ASCE [email protected]
4Associate Professor, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL. Email: [email protected]

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