Research on Collision Detection and Path Optimization of Bench Dragon Motion

This research presented a computational model for analyzing the traditional Chinese folk activity known as "Bench Dragon" or "Panlong," which involves the assembly of hundreds of benches into a dragon for festive performances. Simulation, vector cross product, and binary search were used. Simulation was used to determine the precise positions of each segment of the dragon in the Cartesian coordinate system. The vector cross product was used to detect whether there would be collisions between the benches, and binary search was employed to determine the minimum pitch at which the Bench Dragon had to turn around. The results indicated that the minimum pitch at which the Bench Dragon had to turn around was 0.452m, and the proposed model could enhance the safety and efficiency of this traditional performance.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3705677.3705700
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25
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article

Research on Collision Detection and Path Optimization of Bench Dragon Motion

Kangqiang Shi, J. S. Huang
1 citations
Robotic Path Planning Algorithms
0.25
article

Research on Collision Detection and Path Optimization of Bench Dragon Motion

Kangqiang Shi, J. S. Huang
article en
1 citations

Abstract

This research presented a computational model for analyzing the traditional Chinese folk activity known as "Bench Dragon" or "Panlong," which involves the assembly of hundreds of benches into a dragon for festive performances. Simulation, vector cross product, and binary search were used. Simulation was used to determine the precise positions of each segment of the dragon in the Cartesian coordinate system. The vector cross product was used to detect whether there would be collisions between the benches, and binary search was employed to determine the minimum pitch at which the Bench Dragon had to turn around. The results indicated that the minimum pitch at which the Bench Dragon had to turn around was 0.452m, and the proposed model could enhance the safety and efficiency of this traditional performance.

Henan Normal University (CN)
Openalex Percentile: Top 43%
Robotic Path Planning Algorithms
0.25
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