English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, the increase in mail-order users tends to increase the demand for robot unmanned transport vehicles that transport packages in warehouses and factories. However, the unmanned transport vehicle currently in use runs on magnetic tape and stops when there is a load on the runway, so transport efficiency is poor. So there is a need to detect and avoid obstacles. Currently, ultrasonic sensors, PSD sensors, cameras and 2-D LiDAR are used as obstacle detection sensors. These sensors have several disadvantages. Ultrasonic sensors and PSD sensors can only measure at a point (one dimension) and are susceptible to illumination and noise. In the case of a camera, it is necessary to update the background image, which is time-consuming and costly. Although 2-D LiDAR can be measured in a wide range, it requires a drive system equipped with a rotating mirror etc. and has problems with cost and durability. In order to solve the above problems, in this research, an obstacle is detected using a line laser and a camera, and the distance to the obstacle and the shape are recognized to avoid the obstacle and transport it efficiently. We propose an obstacle recognition method. In this method, not only obstacle detection but also shape recognition can be carried out, and even if there is an obstacle on the runway, it can be flexibly avoided and efficiently transported.

Proposal of Obstacle Detection and Shape Recognition Method for Transfer Robot Using Line Laser and Camera