D. Necsulescu
University of Ottawa, Ottawa University, Carleton University
Papers
35
Total Citations
306
H-Index
9
About
D. Necsulescu is a leading researcher in robotics and autonomous systems, with a primary focus on sensor fusion, simultaneous localization and mapping (SLAM), and advanced control strategies for mobile and manipulator robots. His major contributions include pioneering work on Extended Kalman Filter (EKF)-based sensor fusion for operational space control of robot arms, which has garnered 42 citations, and comparative studies of EKF-SLAM and FastSLAM algorithms for autonomous navigation in unknown outdoor environments, cited 26 and 16 times respectively. He has also advanced energy-efficient motion control through predictive control methods (19 citations) and explored haptic force control integrated with visual feedback (19 citations). Notable achievements include developing robotic fire detection systems for smart manufacturing facilities (14 citations) and analyzing formation control for nonholonomic vehicles under communication delays (8 citations). His work on autonomous mobile robot model predictive control (11 citations) and internal dynamics of mobile robots (27 citations) further demonstrates his broad impact. With over 200 total citations across his most-cited papers, Necsulescu's research has significantly influenced the fields of robot navigation, control theory, and sensor integration, providing foundational techniques for both industrial and autonomous vehicle applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Study of the internal dynamics of an autonomous mobile robot27 citations · 2006
- 3Navigation of an autonomous mobile robot using EKF-SLAM and FastSLAM26 citations · 2008
- 4
- 5
- 6
- 7Robotic Based Fire Detection in Smart Manufacturing Facilities14 citations · 2015
- 8Autonomous mobile robot model predictive control11 citations · 2004
- 9Control of nonholonomic autonomous vehicles and their formations10 citations · 2010
- 10