Hamid Isakhani
University of Lincoln, University of Salford, University of Birmingham
Papers
5
Total Citations
48
H-Index
4
About
Hamid Isakhani is a pioneering researcher at the intersection of bioinspired robotics, micro aerial vehicles, and swarm intelligence. His work draws profound inspiration from insect neurobiology and biomechanics to solve fundamental challenges in autonomous systems. Isakhani’s most influential contribution is the development of a furcated visual collision avoidance system for autonomous microrobots (17 citations), which mimics the locust’s lobula giant movement detector (LGMD) neuron to enable rapid, reactive obstacle avoidance—a critical advance for micro-scale flight. He extended this bioinspired approach by designing and fabricating a locust-inspired gliding wing prototype for micro aerial robots (10 citations), demonstrating how natural wing morphology can enhance energy-efficient flight. In swarm robotics, Isakhani has investigated the role of multiple pheromones in multi-robot deployment (9 citations), offering new insights into decentralized coordination. More recently, he has focused on adaptive grasping, creating a bioinspired underactuated dual tendon-based gripper for space applications (8 citations) and employing generative AI design to structurally synthesize and optimize robotic grippers (4 citations). His work consistently bridges biological principles with engineering innovation, establishing him as a leading voice in creating more agile, efficient, and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Furcated Visual Collision Avoidance System for an Autonomous Microrobot17 citations · 2018
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