Papers
38
Total Citations
754
H-Index
14
About
Mehran Mehrandezh is a robotics researcher whose work spans robot motion planning, visual servoing, autonomous navigation, and field robotics. He is perhaps best known for his pioneering contributions to robotic interception of moving objects, developing augmented proportional navigation guidance techniques originally borrowed from aerospace applications and adapting them for industrial robotic settings — work that has collectively garnered over 180 citations across his foundational papers from 1999 to 2004. His research trajectory then shifted toward visual servoing, where he made significant advances in path planning for camera-guided robotic arms, addressing critical constraints such as field-of-view maintenance and occlusion avoidance. His 2013 paper integrating randomized kinodynamic planning with image-based control (83 citations) and his widely referenced 2010 review of visual servoing path-planning challenges (60 citations) have become essential reading in the field. More recently, Mehrandezh has applied his motion planning expertise to socially impactful problems, including developing efficient coverage path-planning algorithms for autonomous hospital disinfection robots during the COVID-19 pandemic (49 citations). His work on pipe-crawling inspection robots further demonstrates a career-long commitment to translating rigorous robotics theory into practical, real-world solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Randomized Kinodynamic Planning for Robust Visual Servoing83 citations · 2013
- 3Path-Planning for Visual Servoing: A Review and Issues60 citations · 2010
- 4Global path planning for robust Visual Servoing in complex environments52 citations · 2009
- 5
- 6Dynamic analysis and human analogous control of a pipe crawling robot44 citations · 2009
- 7
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- 9
- 10On-Line Robotic Interception Planning Using a Rendezvous-Guidance Technique19 citations · 2004