Design and Implementation of Visual SLAM Delivery Robot

This paper presents the design, development and implementation of a new autonomous delivery robot employing Simultaneous Localization and Mapping (SLAM) technology.By integrating depth cameras, 2D LiDAR, and Inertial Measurement Unit (IMU) sensors, the robot constructs a real-time map of its environment and identifies obstacles.Utilizing the ROS2 navigation stack, the robot plans optimal routes and avoids obstacles, thereby facilitating efficient and autonomous delivery.The implemented hardware was able to successfully navigate through a test terrain with instantaneous localization and map generation, when target points for the delivery robot are provided via desktop software.

Publication Details

Journal
IJARCCE
Published
2024-11-27
DOI
https://doi.org/10.17148/ijarcce.2024.131106
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of Visual SLAM Delivery Robot

IJARCCE
Advanced Manufacturing and Logistics Optimization
article

Design and Implementation of Visual SLAM Delivery Robot

article en

Abstract

This paper presents the design, development and implementation of a new autonomous delivery robot employing Simultaneous Localization and Mapping (SLAM) technology.By integrating depth cameras, 2D LiDAR, and Inertial Measurement Unit (IMU) sensors, the robot constructs a real-time map of its environment and identifies obstacles.Utilizing the ROS2 navigation stack, the robot plans optimal routes and avoids obstacles, thereby facilitating efficient and autonomous delivery.The implemented hardware was able to successfully navigate through a test terrain with instantaneous localization and map generation, when target points for the delivery robot are provided via desktop software.

IJARCCEVol. 13(11)
Openalex Percentile: Top 69%
Advanced Manufacturing and Logistics Optimization
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.

Design and Implementation of Visual SLAM Delivery Robot · IJARCCE (2024) | TGRS Research Map | TGRS