Papers
6
Total Citations
73
H-Index
5
About
Mohammed Hayyan Alsibai is a robotics researcher whose work bridges computer vision, intelligent grasping, and human-robot interaction. His primary contributions lie in enhancing industrial robotic manipulation through deep learning-based object detection and localization, as demonstrated in his most-cited paper on Selective Compliant Articulated Robotic Arm (SCARA) positioning tasks (22 citations). Alsibai has advanced real-time robotic grasping by integrating vision systems that enable adaptive assembly line operations, with a second highly-cited work (20 citations) refining these techniques for practical deployment. Beyond industrial applications, he has explored medical robotics, developing an automated Nao robot system for vital sign monitoring and analysis (11 citations), reflecting a commitment to socially impactful technology. His work also includes innovative soft robotics research, such as an anthropomorphic hand driven by Pneumatic Artificial Muscles (PAM) and a nonlinear adaptive backstepping force control method for slippage detection during grasping (12 citations). With additional contributions to multi-agent formation control, Alsibai’s portfolio demonstrates a versatile expertise spanning vision-guided manipulation, compliant actuation, and autonomous systems, positioning him as a researcher dedicated to making robots more perceptive, dexterous, and useful in both industrial and healthcare settings.
Research Focus
Key Achievements
Top Papers
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