Human–Machine Interface Based on Constraint Velocity Polytope for Safe and Efficient Operation of Large-Size Hydraulic Manipulator

Large-size hydraulic manipulators (LHMs) are widely used in construction areas, but the traditional on-site human–machine interfaces have poor performance problems in efficiency, safety, and usability due to dangers caused by complex obstacles and machine’s constraints. In this study, a uniform constraint velocity polytope (CVP) is introduced to represent the complex constraint information for complying with the machine’s limitations and avoiding collision with the obstacles. The models of the machine and surrounding obstacles are established to calculate the CVP in real-time with a safety margin. The CVP and commanded tool-center-point velocity are incorporated into a visual annotation and displayed in a newly designed augmented reality-based human–machine interface, so that the operator can observe the safe velocity region intuitively and improve the operational efficiency and safety level. The experiment and simulation tests verify the effectiveness of the proposed human–machine interface in improving operation efficiency, safety level, and subjective feeling.

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Publication Details

Journal
Journal of Construction Engineering and Management
Published
2025-04-30
DOI
https://doi.org/10.1061/jcemd4.coeng-15792
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Human–Machine Interface Based on Constraint Velocity Polytope for Safe and Efficient Operation of Large-Size Hydraulic Manipulator

Ruqi Ding, Junhui Zhang, Bing Xu, Min Cheng et al.
Journal of Construction Engineering and Management
Robot Manipulation and Learning
article

Human–Machine Interface Based on Constraint Velocity Polytope for Safe and Efficient Operation of Large-Size Hydraulic Manipulator

Ruqi Ding, Junhui Zhang, Bing Xu, Min Cheng, Linan Li, Kun-Yuan Tu
article en

Abstract

Large-size hydraulic manipulators (LHMs) are widely used in construction areas, but the traditional on-site human–machine interfaces have poor performance problems in efficiency, safety, and usability due to dangers caused by complex obstacles and machine’s constraints. In this study, a uniform constraint velocity polytope (CVP) is introduced to represent the complex constraint information for complying with the machine’s limitations and avoiding collision with the obstacles. The models of the machine and surrounding obstacles are established to calculate the CVP in real-time with a safety margin. The CVP and commanded tool-center-point velocity are incorporated into a visual annotation and displayed in a newly designed augmented reality-based human–machine interface, so that the operator can observe the safe velocity region intuitively and improve the operational efficiency and safety level. The experiment and simulation tests verify the effectiveness of the proposed human–machine interface in improving operation efficiency, safety level, and subjective feeling.

Journal of Construction Engineering and ManagementVol. 151(7)
East China Jiaotong University (CN), Chongqing University (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Robot Manipulation and Learning
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Human–Machine Interface Based on Constraint Velocity Polytope for Safe and Efficient Operation of Large-Size Hydraulic Manipulator — Ruqi Ding, Junhui Zhang, et al. · Journal of Construction Engineering and Management (2025) | TGRS Research Map | TGRS