Masoud Shafie
Papers
1
Total Citations
17
H-Index
1
About
Masoud Shafie is a researcher in robotics and control systems, with a primary focus on the adaptive control of robotic manipulators interacting with complex environments. His most-cited work, "Adaptive Hybrid Impedance Control of robotic manipulators" (2010, 17 citations), addresses the critical challenge of simultaneously regulating both position and force when a robot contacts its surroundings. By employing Hybrid Impedance Control (HIC) methodology, Shafie developed strategies that allow a manipulator to dynamically adjust its stiffness and damping properties, ensuring stable and precise interaction—a fundamental requirement for tasks like assembly, machining, or surgical assistance. This contribution is particularly notable for its adaptive framework, which enables robots to handle unknown or varying environmental conditions without manual retuning. While his citation count reflects a focused, early-career impact, the work stands as a practical foundation for engineers developing force-sensitive robotic systems. Shafie’s research bridges theoretical control theory and real-world application, offering valuable insights for students and researchers advancing dexterous, human-safe automation.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Hybrid Impedance Control of robotic manipulators17 citations · 2010