Pouya Kassaeiyan
Papers
3
Total Citations
128
H-Index
2
About
Pouya Kassaeiyan is a robotics researcher whose work centers on the control and navigation of complex wheeled mobile robots, with a particular emphasis on tractor-trailer systems. His major contributions address two critical challenges in this domain: mitigating self-collision effects and managing actuator saturation limitations. In his highly cited 2019 paper (73 citations), Kassaeiyan developed a robust control strategy that ensures stability and safety for articulated vehicles operating in constrained environments. He extended this work in 2020 (53 citations) by introducing a full-state trajectory tracking controller, enabling precise path-following for tractor-trailer configurations—a significant advancement for applications in autonomous logistics and industrial transport. More recently, Kassaeiyan has ventured into the emerging field of magnetic manipulation, proposing a neural network-based control interface for the autonomous positioning of magnetically actuated spheres. This work addresses the challenge of controlling untethered devices in electromagnetic arrays, where accurate field modeling remains difficult. By combining classical control theory with modern machine learning approaches, Kassaeiyan demonstrates versatility across both traditional wheeled robotics and cutting-edge magnetic actuation systems, establishing himself as a researcher capable of tackling diverse control problems with practical engineering impact.
Research Focus
Key Achievements
Top Papers
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