Md. Matiqul Islam
Papers
3
Total Citations
46
H-Index
3
About
Md. Matiqul Islam is a robotics researcher specializing in human-robot interaction and assistive technologies, with a focus on developing intelligent shopping support systems. His primary research areas include person-following robots, human pose estimation, and sensor fusion for autonomous navigation. Islam’s major contributions center on creating robots that can seamlessly follow users in retail environments by integrating 2D and 3D skeleton data from depth cameras with LiDAR sensors. His most influential work, "A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor" (23 citations), demonstrates a novel approach to tracking individuals in crowded spaces. In a related study (19 citations), he employed GRU networks to analyze shopping behavior from 2D skeleton data, enabling the robot to interpret customer head orientation and body movements for context-aware assistance. His 2020 paper extended this work to 3D skeleton tracking using Kinect depth cameras. Islam’s research bridges computer vision and robotics, offering practical solutions for elderly and disabled shoppers. His work has been cited in multiple assistive robotics studies, highlighting its impact on developing intuitive, human-aware autonomous systems for everyday environments.
Research Focus
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Top Papers
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