Papers
2
Total Citations
8
H-Index
2
About
Asif Memon is a robotics researcher specializing in autonomous navigation, 3D mapping, and human-robot collaboration. His work focuses on developing cost-effective solutions for robotic perception and interaction, particularly using 2D LiDAR sensors. Memon’s most cited paper, “A Rover Team Based 3D Map Building Using Low Cost 2D Laser Scanners” (2021, 6 citations), introduces an innovative approach where multiple rovers equipped with orthogonally paired RPLidar scanners collaboratively construct 3D point cloud maps of indoor environments. This work demonstrates how low-cost hardware can achieve sophisticated mapping capabilities, making autonomous exploration more accessible. In his related research, “Algorithm and Implementation of Human Following Co-bot using 2D LiDAR” (2021, 2 citations), Memon addresses the growing need for collaborative robots (co-bots) that can safely and reliably follow humans in applications ranging from surveillance to healthcare. His contributions advance the practical deployment of autonomous systems in real-world settings, bridging the gap between affordability and functionality. Memon’s work is particularly valuable for researchers and students interested in low-cost robotics, multi-agent systems, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1A Rover Team Based 3D Map Building Using Low Cost 2D Laser Scanners6 citations · 2021
- 2Algorithm and Implementation of Human Following Co-bot using 2D LiDAR2 citations · 2021