D. Neculescu
Papers
1
Total Citations
4
H-Index
1
About
D. Neculescu is a robotics researcher whose work centers on sensor fusion and operational space control for robotic manipulators. His most-cited paper, "Extended Kalman filter based sensor fusion for operational space control of a robot arm" (2002), addresses a fundamental challenge in robotics: achieving precise motion control by accurately estimating both joint and operational space states. Neculescu’s key contribution lies in applying the Extended Kalman Filter to integrate noisy measurements from servomotor position and velocity sensors, creating a robust world model that enables smoother, more accurate operational space control. This work, with 4 citations, has provided a foundational approach for researchers working on sensor integration and real-time control of robot arms. By tackling the practical problem of sensor noise and state estimation, Neculescu has helped advance the reliability of robotic systems in tasks requiring fine manipulation. His research remains relevant for students and engineers developing control architectures for industrial and service robots, offering a clear methodology for fusing imperfect sensor data to achieve high-performance motion control.
Research Focus
Key Achievements
Top Papers
- 1