Ahmad Ghanbari

About

Ahmad Ghanbari is a leading researcher in bio-inspired robotics and nonlinear control systems, whose work bridges the gap between biological locomotion and robotic design. His most significant contributions lie in developing adaptive control strategies for biomimetic robots, including inchworm-inspired manipulators, bipedal walkers, and spherical mobile robots. Ghanbari pioneered the use of metaheuristic algorithms—particularly the Bat Algorithm and Genetic Algorithms—to optimize sliding-mode and neural network controllers, achieving robust performance in complex robotic systems. His highly cited paper on robust adaptive control using the Bat Algorithm (95 citations) and his work on hybrid neural network integral terminal sliding-mode control (88 citations) demonstrate his impact in creating intelligent, fault-tolerant robotic systems. Notably, his research on inchworm locomotion and undulating-fin fish robots has advanced the field of mobile manipulation and underwater robotics. With over 440 total citations across his top ten papers, Ghanbari has established himself as a key figure in bio-inspired robotics, contributing both theoretical frameworks and practical implementations—from spherical robots for patrolling to optimal trajectory planning for crawling gaits.

Research Focus

Key Achievements

Top Papers

1. 1
   Robust adaptive control of a bio-inspired robot manipulator using bat algorithm

   95 citations · 2016
2. 2
   Hybrid neural network fraction integral terminal sliding mode control of an Inchworm robot manipulator

   88 citations · 2016
3. 3
   A novel adaptive neural network integral sliding-mode control of a biped robot using bat algorithm

   66 citations · 2016
4. 4
   Design and Implementation of a Novel Spherical Mobile Robot

   60 citations · 2012
5. 5
   Optimal Trajectory Planning for Design of a Crawling Gait in a Robot Using Genetic Algorithm

   32 citations · 2011
6. 6
   Design, Implementation and Control of a Fish Robot with Undulating Fins

   31 citations · 2011
7. 7
   Modeling and Simulation of Inchworm Mode Locomotion

   24 citations · 2008
8. 8
   Design and implementation of a novel hybrid quadruped spherical mobile robot

   20 citations · 2012
9. 9
   Design, dynamic modeling and simulation of a spherical mobile robot with a novel motion mechanism

   13 citations · 2010
10. 10
    A novel global optimal path planning and trajectory method based on adaptive dijkstra-immune approach for mobile robot

    12 citations · 2011

Key Collaborators

Contact & Links