S. Abdullah
Papers
4
Total Citations
23
H-Index
4
About
S. Abdullah is a robotics researcher whose work bridges tactile sensing, human-robot interaction, and computer vision. Their primary research areas include optical three-axis tactile sensors, gesture-based robot control, and binocular vision calibration for humanoid robots. Abdullah’s most significant contribution is the development of an all-in-type optical three-axis tactile sensor mounted on articulated robotic fingers, which eliminates the need for external devices like CCD cameras and light sources while addressing the problem of insensible zones. This work, cited 7 times, enables robots to detect both grasping force and slippage, making it applicable to delicate tasks such as thin flexible sheet handling. In human-robot interaction, Abdullah proposed a finger direction recognition method for behavior control, allowing robots to interpret human gestures in daily workspaces (6 citations). Their calibration method for binocular eye systems, which rectifies the Y-coordinate of epipolar geometry, improves stereo vision accuracy for humanoid robots (6 citations). With a focus on practical, sensor-driven solutions, Abdullah’s research advances robotic dexterity and intuitive control, offering foundational tools for future automation and assistive technologies.
Research Focus
Key Achievements
Top Papers
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