Papers
5
Total Citations
37
H-Index
3
About
Anas Bin Aqeel is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and agricultural robotics. His major contributions lie in advancing SLAM techniques for mobile robots, particularly through sensor selection and multi-sensor fusion. His most cited paper, “Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process” (2022, 16 citations), provides a systematic framework for evaluating sensor performance, directly impacting the design of robust navigation systems. In “Multi-Sensor SLAM for efficient Navigation of a Mobile Robot” (2021, 9 citations), he demonstrated how Extended Kalman Filter and RGBD-SLAM can solve landmark localization without prior environmental knowledge, building both 2D and 3D maps. Aqeel has also applied these methods to agricultural robots, as seen in his work on SLAM for an agribot in a simulated Gazebo environment (2021, 7 citations), and to industrial automation, developing an Automated Guided Vehicle for warehouse logistics (2021, 3 citations). His research extends into micro-robotics, with a study on optimized magnetic micro-robotic systems for two-dimensional manipulation (2021, 2 citations). Collectively, his work bridges theoretical SLAM advances with practical deployments in agriculture, industry, and micro-scale manipulation, establishing him as a versatile contributor to autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process16 citations · 2022
- 2Multi-Sensor SLAM for efficient Navigation of a Mobile Robot9 citations · 2021
- 3
- 4
- 5