Mohammad Jafarinasab
Papers
2
Total Citations
68
H-Index
2
About
Mohammad Jafarinasab is a leading researcher in the field of aerial robotics, with a primary focus on the modeling and adaptive motion control of underactuated aerial robotic manipulators. His work addresses the complex challenge of integrating multirotor unmanned aerial vehicles (UAVs) with multi-link serial robotic arms, enabling precise manipulation during flight. Jafarinasab’s major contributions include the development of novel model-based adaptive control algorithms that leverage virtual decomposition techniques to manage the intricate kinematics and dynamics of these multi-body systems. His most cited paper, "Model-Based Motion Control of a Robotic Manipulator With a Flying Multirotor Base" (2019), has garnered 59 citations, highlighting its significant impact on advancing autonomous aerial manipulation. This work proposes two innovative control strategies that allow the manipulator to operate effectively despite the system’s inherent underactuation. Additionally, his earlier foundational study on adaptive motion control using virtual decomposition (2015) has laid critical groundwork for subsequent research. Jafarinasab’s research is instrumental in pushing the boundaries of aerial robotics, with potential applications in inspection, maintenance, and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
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