Papers
3
Total Citations
10
H-Index
2
About
Hamed Haghighi’s research centers on the control and trajectory generation of bipedal humanoid robots, with a particular focus on achieving stable, human-like locomotion. His major contributions include developing an inverse kinematic solution for an 8-degree-of-freedom (DOF) biped robot using cubic polynomial trajectory generation, a method that simplifies the complex task of humanoid walking by producing smooth, natural motion patterns. He also pioneered a computed torque controller based on the Zero Moment Point (ZMP) criterion, ensuring dynamic stability during gait—a foundational approach in nonlinear control that bridges robust, adaptive, and learning control methods. More recently, Haghighi introduced a brain-inspired, self-organizing modular structure that identifies primitive motions to control human-like movements, advancing the field toward more autonomous and adaptable robotic systems. Although his citation counts are modest (with his most cited work at 5 citations), his work is notable for its integration of mechanical design, trajectory planning, and bio-inspired control, offering practical frameworks for researchers and students exploring bipedal locomotion and humanoid robotics.
Research Focus
Key Achievements
Top Papers
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