Abid Rahman

Papers

Total Citations

H-Index

About

Abid Rahman is a researcher specializing in human-robot interaction (HRI), computer vision, and gesture recognition. His most cited work, "Pointing and Commanding Gesture Recognition in 3D for Human-Robot Interaction" (2018, 6 citations), introduces a Kinect-based system that integrates three key subsystems: pointing gesture recognition, 3D dynamic gesture recognition, and robot navigation. By leveraging Kinect’s skeletal tracking, Rahman’s system enables intuitive, non-verbal communication between humans and robots, allowing users to command robots through natural pointing and dynamic hand gestures in three-dimensional space. This contribution addresses a critical challenge in HRI—making robot control accessible and efficient without specialized hardware. Rahman’s work has been cited in subsequent studies exploring gesture-based interfaces and assistive robotics, underscoring its relevance in advancing user-friendly robotic systems. His research bridges computer vision and robotics, offering practical solutions for real-world applications such as service robots and collaborative manufacturing.