Saqib Akhter

Papers

Total Citations

H-Index

About

Dr. Saqib Akhter is a robotics researcher whose work centers on autonomous navigation and industrial automation, with a particular focus on SLAM (Simultaneous Localization and Mapping) technologies for material handling systems. His most cited work, "Autonomous SLAM Based Forklift Robot" (2017), proposes a sophisticated design for a forklift robot capable of operating in dynamic, unknown warehouse environments. This contribution addresses a critical challenge in logistics automation: enabling robots to lift and shift objects without pre-mapped infrastructure. By integrating SLAM algorithms with mechanical design, Akhter's research bridges the gap between theoretical robotics and practical industrial applications. While his citation count (2) reflects the specialized, early-stage nature of this work, the paper demonstrates foundational thinking in autonomous material handling—a field with growing relevance as e-commerce and smart warehousing expand. Akhter's approach emphasizes real-world deployment in unstructured settings, distinguishing his work from laboratory-based robotics research. For students and researchers, his study offers valuable insights into the practical challenges of sensor fusion, path planning, and mechanical integration in autonomous industrial vehicles, making it a useful reference for those exploring SLAM applications beyond traditional mobile robotics.