What question did this study set out to answer?

This research aims to enhance navigation capabilities of autonomous mobile robots in dynamic environments by utilizing a multi-LiDAR system.

Multi-LiDAR SLAM and intelligent navigation for autonomous logistic robots in ROS2 environments

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Randomized trial evaluates integrated multi-LiDAR AMR navigation in dynamic warehouse settings, suggesting robust performance improvements.

This research aims to enhance navigation capabilities of autonomous mobile robots in dynamic environments by utilizing a multi-LiDAR system.
Developed an AMR incorporating a multi-LiDAR perception stack and low-cost actuation through ROS2.
Merged data from dual LiDAR sensors for enhanced SLAM and integrated various sensor systems including ultrasonic sensors and IMU.
Experimental validation focused on motion-control and speed-retrieval errors, along with command execution via MQTT.
Achieved a motion-control error of 0.36% and a speed-retrieval error of 0.43%.
Point-to-point navigational repeatability improved to 10.3 cm.
Successfully addressed single-LiDAR coverage gaps and Nav2 goal-overwriting issues.

Rusli et al. (2026) studied this question.

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Randomized trial evaluates integrated multi-LiDAR AMR navigation in dynamic warehouse settings, suggesting robust performance improvements.