Narcis Ghita
Papers
2
Total Citations
44
H-Index
2
About
Narcis Ghita is a researcher in robotics and autonomous systems, with a primary focus on motion planning and control for non-holonomic vehicles. His work addresses the fundamental challenge of enabling car-like robots to navigate complex environments efficiently and safely. Ghita’s major contributions lie in developing algorithmic frameworks that bridge high-level task specifications with low-level trajectory generation. His most-cited paper, "Trajectory planning for a car-like robot by environment abstraction" (2011, 41 citations), introduces a method that simplifies the environment into a graph-based representation, allowing for computationally efficient path planning while respecting the robot’s kinematic constraints. In a related work, "Probabilistic car-like robot path planning from temporal logic specifications" (2011, 3 citations), he advanced the field by integrating Linear Temporal Logic (LTL) with probabilistic planning, enabling robots to autonomously satisfy complex, time-sensitive missions in known environments. Though his citation counts are modest, Ghita’s research represents a meaningful step toward the automatic deployment of autonomous vehicles, particularly in scenarios requiring precise adherence to logical constraints. His work continues to inform researchers tackling the intersection of formal methods and robotics.
Research Focus
Key Achievements
Top Papers
- 1Trajectory planning for a car-like robot by environment abstraction41 citations · 2011
- 2