Papers
81
Total Citations
1,325
H-Index
20
About
Majid Nili Ahmadabadi is a prominent robotics and computational neuroscience researcher whose work spans legged locomotion, climbing robots, neural hardware implementation, and multi-robot cooperation. Based at the University of Tehran, he has made foundational contributions to the design and control of bio-inspired robotic systems. His pioneering work on the UT-PCR wheel-based pole climbing robot (104 citations) established rigorous kinematic frameworks for a challenging class of nonholonomic mobile robots, while his extensive research into quadrupedal locomotion — exploring active and flexible spines across multiple studies — has illuminated how spinal compliance enhances speed, stability, and energy efficiency in running robots. His FPGA implementation of Hodgkin-Huxley neural networks (96 citations) demonstrates a rare bridge between biological realism and hardware efficiency, enabling larger-scale neuromorphic computing. Earlier work on distributed multi-robot object manipulation (71 citations) introduced the influential "constrain and move" paradigm for cooperative behavior-based systems. With research extending into visual attention, human motion mimicking, and variable compliance adaptation for energy-efficient cyclic tasks, Ahmadabadi has built a remarkably diverse yet coherent research legacy, accumulating over 640 citations across his most impactful contributions alone.
Research Focus
Key Achievements
Top Papers
- 1Kinematics Modeling of a Wheel-Based Pole Climbing Robot (UT-PCR)104 citations · 2006
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- 4A "constrain and move" approach to distributed object manipulation71 citations · 2001
- 5Online learning of task-driven object-based visual attention control69 citations · 2009
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- 9Wheel-Based Climbing Robot: Modeling and Control39 citations · 2010
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