Research on Dragon Dance Formation Modeling and Collision Detection Based on Spiral Motion Model
DOI:
https://doi.org/10.54097/3z88dc29Keywords:
Archimedes Spiral, Forward Euler Method, Polar Trajectory Optimization, Velocity Correlation Analysis, Multi-node Connected Rigid Body Dynamics.Abstract
In dragon dance performances, precise control of formations and collision avoidance are crucial for enhancing performance quality and safety. In recent years, mathematical modeling and computational algorithms have become key research directions for optimizing dragon dance formations. This study proposes a modeling approach based on the Archimedean spiral to analyze the dynamic behavior of the "bench dragon" (a specific type of dragon in the formation) along complex paths. By numerically solving the differential equations and geometric constraints using the forward Euler method, the spatial distribution of the segments of the "bench dragon" is obtained, and its dynamic evolution is simulated through time-stepping discretization. The results indicate that the distance between the "bench dragon" and the origin gradually decreases. Within the first 300 seconds, the distance of the dragon head decreases by 3.8027 meters, and that of the dragon tail decreases by 2.4486 meters, with more significant changes occurring in the segments closer to the head. To prevent collisions, the minimum safe distance between the segments is maintained above 0.8 meters, and the maximum position deviation between the dragon head and tail is reduced to 1.3%. However, the inward spiral contraction characteristic of the Archimedean spiral may increase the risk of trajectory overlap or collision in the central region of the spiral. This study provides significant theoretical support and practical reference for the dynamic optimization of multi-segment flexible systems.
Downloads
References
[1] S. X, P. W H, C. L, et al. Drunken Dragon Cyber Dance: Application of Augmented Reality Technology in Drunken Dragon Cultural Heritage Education [C]//. 2022 2nd International Conference on Social Sciences and Intelligence Management (SSIM), 2022: 36 - 40.
[2] WANG X, CARPENTER H J, GHAYESH M H, et al. A review on the biomechanical behaviour of the aorta [J]. Journal of the Mechanical Behavior of Biomedical Materials, 2023, 144: 105922.
[3] SI J, THELKAR A R. Leveraging artificial neural networks for enhanced athlete performance evaluation through IMU data analysis [J]. Heliyon, 2024, 10 (15): e34826.
[4] H. C, CHENG Y. Approximation of Archimedes spiral with polynomial s-power basis [C]//. 2011 3rd International Conference on Computer Research and Development, 2011: 249 - 251.
[5] C. O, J. M M, K. T C, et al. Development of a Dual Wind Turbines using the Savonius and Archimedes Spiral Principle [C]//. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2018: 1 - 5.
[6] MAGEE R, YANG B, RATLIFF J. Trsper: a web-based application for Archimedes spiral analysis[J]. mHealth, 2022, 8: 3.
[7] T. K L, S. H B, S. Y O, et al. Complete coverage algorithm based on linked smooth spiral paths for mobile robots [C]//. 2010 11th International Conference on Control Automation Robotics & Vision, 2010: 609 - 614.
[8] C. E B, C. M D O, P. A, et al. GHASP: an Hα kinematic survey of spiral galaxies – X. Surface photometry, decompositions and the Tully–Fisher relation in the Rc band [J]. Monthly Notices of the Royal Astronomical Society, 2015, 453 (3): 2965 - 2981.
[9] H. W, J. Y, W. C. Methodologies on Spatial and Temporal Correlation Analysis between Regional Neighboring Sites[C]//. 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), 2024: 1 - 4.
[10] S. R, T. W, L. J, et al. Research on equivalent modeling method of wind farm considering wind speed correlation based on Mixed-Copula [C]//. 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2021: 602 - 607.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







