Published on: April 2026
AI-AUGMENTED SLAM FOR WAREHOUSE ROBOTS
Ashmitha R Pritika R A Nithya Ganesh M Vishal Ragavendra S P
Divya M¹, Dr. A. Kishore Kumar
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Abstract
The rapid expansion of Industry 4.0 technologies has fundamentally changed the way warehouses operate. Today, logistics environments demand systems that are not just automated, but genuinely intelligent — capable of responding to real-time changes without human intervention. Autonomous Mobile Robots (AMRs) have emerged as a leading solution for tasks such as goods transport, inventory tracking, and logistics execution. However, most conventional AMR systems depend on static, pre-planned navigation routes that are unable to respond to moving people or dynamic obstacles, directly compromising both safety and operational efficiency.
How to Cite this Paper
R, A., A, P. R., M, N. G. & P, V. R. S. (2026). AI-Augmented SLAM for Warehouse Robots. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.621
R, Ashmitha, et al.. "AI-Augmented SLAM for Warehouse Robots." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.621.
R, Ashmitha,Pritika A,Nithya M, and Vishal P. "AI-Augmented SLAM for Warehouse Robots." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.621.
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References
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- Kumar and A. Singh, “LiDAR-Based Inventory Robot,” 2024.
- R. Nambiappan et al., “Human-Robot Interaction System,” 2024.
- Eisen et al., “Resource Scheduling for AMR Navigation,” IEEE, 2023.
- Zheng et al., “ROS-Based AMR Architecture,” 2024.
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- •Published on: Apr 23 2026
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