Motion Model of Bench Dragon Based on The Spiral Algorithm

This study focuses on the potential collision scenarios in the motion of the Bench Dragon, a traditional folk activity, aiming to precisely locate possible collision points. Currently, there is a dearth of specialized research and experimental exploration on bench dragon collisions. By leveraging the known spiral equation and triangular relationships, the study first deduces the motion correlations among benches to accurately ascertain their positions and velocities. Then, through simulating the motion of two benches, it clarifies the collision-triggering conditions. To boost solution efficiency, a nearest-neighbor detection model for adjacent layers is proposed. A subsequent simulation analysis of the bench dragon's overall motion reveals that at the 412.3rd second, the dragon's head will collide with the 8th section of its body. The results validate the model, filling the research gap and aiding in understanding the dragon's motion and collisions.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-05-18
DOI
https://doi.org/10.54097/cm15m044
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Motion Model of Bench Dragon Based on The Spiral Algorithm

Jiahua Wang, Hongyu Li, Zhenyu Chen
1 links
Highlights in Science Engineering and Technology
Robotic Path Planning Algorithms
article

Motion Model of Bench Dragon Based on The Spiral Algorithm

Jiahua Wang, Hongyu Li, Zhenyu Chen
article en

Abstract

This study focuses on the potential collision scenarios in the motion of the Bench Dragon, a traditional folk activity, aiming to precisely locate possible collision points. Currently, there is a dearth of specialized research and experimental exploration on bench dragon collisions. By leveraging the known spiral equation and triangular relationships, the study first deduces the motion correlations among benches to accurately ascertain their positions and velocities. Then, through simulating the motion of two benches, it clarifies the collision-triggering conditions. To boost solution efficiency, a nearest-neighbor detection model for adjacent layers is proposed. A subsequent simulation analysis of the bench dragon's overall motion reveals that at the 412.3rd second, the dragon's head will collide with the 8th section of its body. The results validate the model, filling the research gap and aiding in understanding the dragon's motion and collisions.

Highlights in Science Engineering and TechnologyVol. 142
Openalex Percentile: Top 91%
Robotic Path Planning Algorithms
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Motion Model of Bench Dragon Based on The Spiral Algorithm — Jiahua Wang, Hongyu Li, et al. · Highlights in Science Engineering and Technology (2025) | TGRS Research Map | TGRS