Ashraf Elnagar

About

Ashraf Elnagar is a leading figure in autonomous robotics and motion planning, whose work has fundamentally advanced how robots perceive and navigate dynamic environments. His research centers on predictive modeling, trajectory optimization, and intelligent path planning, with a particular focus on enabling robots to operate safely among moving obstacles. Elnagar’s most influential contribution is his pioneering framework for motion prediction, detailed in his highly cited 1998 paper (73 citations), which uses autoregressive models to forecast the future positions and orientations of moving objects without imposing motion constraints. He further refined this approach using Kalman filtering (52 citations), establishing a robust foundation for real-time obstacle avoidance. His innovative work also includes a novel application of Maxwell’s equations to eliminate the local minima problem in artificial potential fields (22 citations) and an art gallery-based algorithm for optimal guard placement in global environments (17 citations). More recently, Elnagar has contributed to swarm intelligence, co-authoring a comprehensive 2022 review on bat-inspired algorithms (37 citations). With a career spanning over two decades, his research has consistently pushed the boundaries of autonomous navigation, making him a key reference for students and engineers developing intelligent robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Motion prediction of moving objects based on autoregressive model

   73 citations · 1998
2. 2
   Prediction of moving objects in dynamic environments using Kalman filters

   52 citations · 2002
3. 3
   On optimal constrained trajectory planning in 3D environments

   42 citations · 2000
4. 4
   Recent advances of bat-inspired algorithm, its versions and applications

   37 citations · 2022
5. 5
   Motion planning using Maxwell's equations

   22 citations · 2003
6. 6
   An art gallery-based approach to autonomous robot motion planning in global environments

   17 citations · 2005
7. 7
   On smooth and safe trajectory planning in 2D environments

   14 citations · 2002
8. 8
   An adaptive motion prediction model for trajectory planner systems

   14 citations · 2004
9. 9
   A Kinect-based indoor mobile robot localization

   11 citations · 2015
10. 10
    A global path planning Java-based system for autonomous mobile robots

    9 citations · 2004

Key Collaborators

Contact & Links