Dalia Kass
Papers
1
Total Citations
6
H-Index
1
About
Dalia Kass is a robotics researcher whose work focuses on the control and localization of mobile robotic systems, particularly Differential Drive Mobile Robots (DDMRs). Her most cited paper, "A Novel Control-Navigation System- Based Adaptive Optimal Controller & EKF Localization of DDMR" (2015, 6 citations), introduces an innovative approach that integrates an adaptive optimal controller with Extended Kalman Filter (EKF) localization to enhance both dynamic system response and positioning accuracy. This work demonstrates her expertise in combining low-level control strategies with navigation algorithms to improve real-world robot performance. Kass’s research addresses critical challenges in autonomous navigation, including joint space control and state estimation, contributing to the development of more reliable and efficient mobile robots. While her citation count reflects the early stage of her career, her contributions to adaptive control and sensor fusion for DDMRs highlight her potential to advance the field of robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1