Fawzi Nashashibi

About

Fawzi Nashashibi is a prominent robotics and autonomous systems researcher whose work spans autonomous vehicle control, mobile robot navigation, and simultaneous localization and mapping (SLAM). Over nearly three decades, he has made significant contributions to the perception, modeling, and intelligent control of autonomous platforms operating in complex real-world environments. His most influential work, "Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking" (2014, 189 citations), demonstrates his capacity to bridge theoretical control design with practical autonomous driving challenges, developing a sophisticated feedback controller for multi-phase overtaking maneuvers without reliance on roadway markings or vehicle-to-vehicle communication. Earlier foundational research tackled 3D terrain modeling using laser range finders and autonomous navigation in natural outdoor environments, reflecting a career-long commitment to robust robot perception. Nashashibi has also advanced the field of SLAM, addressing critical challenges such as failure detection in urban environments and correction prediction in large-scale settings — work increasingly vital as autonomous systems move from controlled testbeds to unpredictable real-world deployment. His contributions to multi-vehicle cooperative mapping further underscore his interest in collaborative autonomous systems. Collectively, his body of work has shaped modern approaches to autonomous navigation and continues to inform both academic research and applied intelligent transportation systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking

   189 citations · 2014
2. 2
   3-D autonomous navigation in a natural environment

   38 citations · 2002
3. 3
   On autonomous navigation in a natural environment

   31 citations · 1995
4. 4
   Indoor scene terrain modeling using multiple range images for autonomous mobile robots

   29 citations · 2003
5. 5
   A real-time robust global localization for autonomous mobile robots in large environments

   25 citations · 2010
6. 6
   3-D incremental modeling and robot localization in a structured environment using a laser range finder

   24 citations · 2002
7. 7
   Failure detection for laser-based SLAM in urban and peri-urban environments

   21 citations · 2017
8. 8
   2D SLAM Correction Prediction in Large Scale Urban Environments

   10 citations · 2018
9. 9
   A new method for occupancy grid maps merging: Application to multi-vehicle cooperative local mapping and moving object detection in outdoor environment

   10 citations · 2012
10. 10
    Step and curb detection for autonomous vehicles with an algebraic derivative-based approach applied on laser rangefinder data

    7 citations · 2013

Key Collaborators

Contact & Links