Ahmad Albalasie
Papers
8
Total Citations
73
H-Index
5
About
Ahmad Albalasie is a robotics researcher whose work centers on creating safer, more adaptable robots for physical human-robot interaction (pHRI). His primary research areas include variable stiffness actuation (VSA), compliant robotic manipulators, and control systems for underactuated robots. Albalasie’s major contributions lie in the design and control of novel variable stiffness actuators that can instantly switch stiffness levels—a critical feature for ensuring safety during collisions. His most cited paper (29 citations) introduces a discrete variable stiffness actuator with instant stiffness switch capability, while his work on the Binary-Controlled Variable Stiffness Actuator (18 citations) advances modeling and control for compliant interaction. Beyond VSA, he has contributed to industrial robotics with a SCARA robot prototype for pick-and-place tasks and developed adaptive model predictive control schemes to minimize energy consumption in underactuated robots. His research on cable-driven parallel marine robots and quasi-linearization approaches for energy reduction further demonstrates his versatility. With over 70 total citations across his publications, Albalasie’s work is shaping the next generation of inherently safe, energy-efficient robotic systems for both industrial and collaborative applications.
Research Focus
Key Achievements
Top Papers
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- 6Quasi-linearization Approach for the Under-actuated Robots3 citations · 2015
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