Hossein Bonyan Khamseh
Papers
2
Total Citations
124
H-Index
2
About
Hossein Bonyan Khamseh is a researcher whose work sits at the critical intersection of robotics, control theory, and autonomous aerial systems. His primary focus is on the modeling, control, and state estimation of manipulating unmanned aerial vehicles (UAVs)—quadcopters equipped with robotic arms. His most influential contribution, the 2019 paper "Unscented Kalman filter state estimation for manipulating unmanned aerial vehicles," has garnered 96 citations, establishing a foundational approach for accurately estimating the state of these complex, coupled systems. In his earlier 2017 work, "UKF–Based LQR Control of a Manipulating Unmanned Aerial Vehicle" (28 citations), Khamseh demonstrated a complete pipeline: using the Euler–Lagrange method to model the quadcopter-manipulator dynamics, then applying an Unscented Kalman Filter (UKF) with a Linear Quadratic Regulator (LQR) for robust control. This integrated methodology is crucial for enabling aerial robots to perform precise, interactive tasks like grasping and manipulation while hovering. Khamseh’s research provides essential tools for advancing autonomous drones from passive observers to active agents in the physical world.
Research Focus
Key Achievements
Top Papers
- 1
- 2UKF–Based LQR Control of a Manipulating Unmanned Aerial Vehicle28 citations · 2017