Research on the Dynamic Operation and Path Optimization of "Bench Dragon" Dance Performance

In this paper, the path planning and safety concerns in the "Bench Dragon" performance are investigated. To improve both the safety and fluidity of the "Bench Dragon" performance in complex environments, this study aims to design precise path planning and collision detection strategies. First, a path planning model based on the Archimedean spiral is established, and the distances and velocity distributions between adjacent benches in the dragon dance team are accurately determined using numerical integration and the bisection method. Next, a collision detection method is proposed, which monitors the distance between adjacent benches in real time and assesses whether it falls below a safety threshold. Simulation results indicate that the first collision between the dragon's head and body occurs at 412 seconds. Lastly, to meet the requirement of a 9-meter diameter turnaround area, a recursive algorithm is employed to determine the minimum feasible pitch of 0.42 meters, ensuring that direction changes can be executed without collisions.

Authors

Institutions

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ddcls66240.2025.11065253
Primary Topic
Diversity and Impact of Dance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Dynamic Operation and Path Optimization of "Bench Dragon" Dance Performance

Yunjin Song, Ruikun Zhang, X. Guo, Chenxuan Zhang
Diversity and Impact of Dance
article

Research on the Dynamic Operation and Path Optimization of "Bench Dragon" Dance Performance

Yunjin Song, Ruikun Zhang, X. Guo, Chenxuan Zhang
article en

Abstract

In this paper, the path planning and safety concerns in the "Bench Dragon" performance are investigated. To improve both the safety and fluidity of the "Bench Dragon" performance in complex environments, this study aims to design precise path planning and collision detection strategies. First, a path planning model based on the Archimedean spiral is established, and the distances and velocity distributions between adjacent benches in the dragon dance team are accurately determined using numerical integration and the bisection method. Next, a collision detection method is proposed, which monitors the distance between adjacent benches in real time and assesses whether it falls below a safety threshold. Simulation results indicate that the first collision between the dragon's head and body occurs at 412 seconds. Lastly, to meet the requirement of a 9-meter diameter turnaround area, a recursive algorithm is employed to determine the minimum feasible pitch of 0.42 meters, ensuring that direction changes can be executed without collisions.

Qingdao University of Science and Technology (CN)
Openalex Percentile: Top 83%
Diversity and Impact of Dance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.