• Lathangi N
• Ehteshamul Haque
• Akarsh Shrivastava
• Kunal Agarwal

This research paper is a review on the application of Simultaneous Localization and Mapping (SLAM) techniques in the development of an autonomous logistics robot. The objective is to investigate how SLAM can enable robots to navigate and map dynamic environments while efficiently performing logistics tasks. The paper reviews the fundamental principles of SLAM, discusses its relevance in autonomous navigation, and highlights the specific challenges and considerations when applying SLAM to logistics applications. Furthermore, the paper presents case studies and real-world examples of existing autonomous logistics robots that leverage SLAM, providing insights into their performance, capabilities, and potential future developments. The findings of this research emphasize the importance of SLAM as a key component in building efficient and adaptable autonomous logistics robots.

Autonomous traversal , ROS, Visual SLAM, Visual Odometry

"Review on SLAM implementation for autonomous traversal of logistics robots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i603-i606, July-2023, Available :http://www.jetir.org/papers/JETIR2307886.pdf

"Review on SLAM implementation for autonomous traversal of logistics robots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi603-i606, July-2023, Available at : http://www.jetir.org/papers/JETIR2307886.pdf