Hamid Teimoori
Papers
11
Total Citations
481
H-Index
7
About
Hamid Teimoori is a leading researcher in biologically inspired robotics, whose pioneering work has fundamentally advanced how wheeled mobile robots navigate and interact with their environments using minimal sensory information. His primary research focuses on developing elegant, nature-inspired guidance laws that enable robots to perform complex tasks using only range‑only measurements—a significant departure from traditional, sensor‑heavy approaches. Teimoori’s most influential contribution is the development of the Equiangular Navigation Guidance (ENG) law, a bio‑inspired algorithm that allows a robot to home in on an unknown target using just the distance to it, while simultaneously avoiding obstacles in cluttered settings. This work, detailed in his highly cited papers (119 and 106 citations), demonstrates mathematically rigorous yet computationally simple solutions for target following and collision‑free navigation. He also extended these principles to multi‑robot systems, proposing decentralized navigation laws that guarantee coordinated movement with limited communication. His research, with over 470 total citations, has proven foundational for applications in search‑and‑rescue, environmental monitoring, and autonomous exploration, establishing Teimoori as a key figure in minimalist, robust robot navigation.
Research Focus
Key Achievements
Top Papers
- 1Navigation of a unicycle-like mobile robot for environmental extremum seeking119 citations · 2010
- 2Range-only measurements based target following for wheeled mobile robots106 citations · 2010
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