Amir Shirkhodaie

About

Amir Shirkhodaie is a leading researcher in autonomous mobile robotics, specializing in soft computing, visual terrain perception, and multi-agent cooperative systems. His work focuses on enabling robots to navigate and operate in unstructured, natural environments—from planetary surfaces like Mars to hazardous sites containing unexploded ordnance (UXO). His most cited paper, “Soft Computing for Visual Terrain Perception and Traversability Assessment by Planetary Robotic Systems” (2006, 19 citations), introduces innovative imaging texture analysis techniques for detecting salient terrain features, directly advancing planetary exploration robotics. He also developed a fast near-optimum algorithm for autonomous path planning in rough terrain (2004, 14 citations) and pioneered algorithms for visual coordination and target tracking among semi-autonomous robot teams (2003, 13 citations). Shirkhodaie’s contributions extend to supervised control of cooperative multi-agent vehicles (2003, 12 citations) and AI-assisted multi-arm industrial robotics (2005, 7 citations). Notably, his work on visual detection and soft-computing decision fusion for UXO recognition (2007, 5 citations) demonstrates the real-world impact of his research in defense and remediation. With over 80 total citations across his top papers, Shirkhodaie’s interdisciplinary approach—merging computer vision, artificial intelligence, and robotic control—continues to shape the future of autonomous navigation and cooperative robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Soft Computing for Visual Terrain Perception and Traversability Assessment by Planetary Robotic Systems

   19 citations · 2006
2. 2
   Traversable Terrain Modeling and Performance Measurement of Mobile Robots

   14 citations · 2004
3. 3
   Cooperative visual team working and target tracking of mobile robots

   13 citations · 2003
4. 4
   Supervised control of cooperative multi-agent robotic vehicles

   12 citations · 2003
5. 5
   <title>Visual terrain mapping for traversable path planning of mobile robots</title>

   8 citations · 2004
6. 6
   AI assisted multi-arm robotics

   7 citations · 2005
7. 7
   Visual detection, recognition, and classification of surface-buried UXO based on soft-computing decision fusion

   5 citations · 2007
8. 8
   UXO detection, characterization, and remediation using intelligent robotic systems

   4 citations · 2008
9. 9
   <title>Behavior-based tactical navigational and mobility control of tandem ground robotic vehicles</title>

   3 citations · 2000
10. 10
    Navigational task-planning of distributed cooperative robotic vehicles

    3 citations · 2002

Key Collaborators

Contact & Links