Research on special omnidirectional chassis AGV based on LiDAR reflective column positioning

Abstract In recent years, with the general trend of factory automation and intelligent development, automatic guided vehicles (AGV), as an important component of factory logistics handling systems, are gradually replacing manual forklifts. The AGV chassis control system and navigation and positioning system play an important role in the middle. The chassis control system can realize various complex actions, while the navigation and positioning system calculates the posture of the AGV in real time based on the acquired signals, providing a basis for accurate positioning and navigation. LiDAR can obtain its position information by emitting lasers to objects and recovering signals with an accuracy of centimeter level. However, in stereoscopic warehouses, LiDAR is easily affected by goods, and its accuracy is reduced. In addition, the space for forklifts to rotate in narrow aisles is small, which limits its use. To solve these problems, an AGV with a special omnidirectional chassis and using reflective columns for positioning is designed, which not only effectively reduces costs but also improves parking accuracy from 11.0 mm to 5.5 mm, ultimately improving safety.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3019/1/012070
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on special omnidirectional chassis AGV based on LiDAR reflective column positioning

Zeqiang Zhang, K. Chu, Jingwen Lu
Journal of Physics Conference Series
Inertial Sensor and Navigation
article

Research on special omnidirectional chassis AGV based on LiDAR reflective column positioning

Zeqiang Zhang, K. Chu, Jingwen Lu
article en

Abstract

Abstract In recent years, with the general trend of factory automation and intelligent development, automatic guided vehicles (AGV), as an important component of factory logistics handling systems, are gradually replacing manual forklifts. The AGV chassis control system and navigation and positioning system play an important role in the middle. The chassis control system can realize various complex actions, while the navigation and positioning system calculates the posture of the AGV in real time based on the acquired signals, providing a basis for accurate positioning and navigation. LiDAR can obtain its position information by emitting lasers to objects and recovering signals with an accuracy of centimeter level. However, in stereoscopic warehouses, LiDAR is easily affected by goods, and its accuracy is reduced. In addition, the space for forklifts to rotate in narrow aisles is small, which limits its use. To solve these problems, an AGV with a special omnidirectional chassis and using reflective columns for positioning is designed, which not only effectively reduces costs but also improves parking accuracy from 11.0 mm to 5.5 mm, ultimately improving safety.

Journal of Physics Conference SeriesVol. 3019(1)
Henan Energy & Chemical Industry Group (China) (CN)
Openalex Percentile: Top 83%
Inertial Sensor and Navigation
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.

Research on special omnidirectional chassis AGV based on LiDAR reflective column positioning — Zeqiang Zhang, K. Chu, et al. · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS