Papers
11
Total Citations
168
H-Index
7
About
Mohamad Mosadeghzad is a researcher whose work spans the critical intersection of humanoid robotics, impedance control, and bio-inspired sensing. His most significant contributions lie in advancing the stability and interaction capabilities of compliant humanoid robots, with his seminal 2012 paper on active impedance control—cited 48 times—providing a foundational comparison of implementation methods, passivity, and trade-offs. He developed an open-source dynamic simulator for the COMAN humanoid robot (44 citations), enabling efficient symbolic multibody modeling that has become a key tool for the community. Mosadeghzad also pioneered power-efficient balance control through optimal ankle compliance regulation, and explored auditory selective attention using Bayesian computational models for binaural sound localization in humanoids. His work on dynamic simulation for designing high-performance humanoids and genetic algorithm-based stability optimization for mobile robots further demonstrates his breadth. With over 160 total citations across his top papers, Mosadeghzad’s research has directly improved how robots physically interact with unstructured environments, from assistive rehabilitation devices to production-line digital twins, making him a notable figure in mechatronics and compliant robotics.
Research Focus
Key Achievements
Top Papers
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- 5Designing a High Performance Humanoid Robot Based on Dynamic Simulation9 citations · 2013
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- 7Saliency based sensor fusion of broadband sound localizer for humanoids8 citations · 2015
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- 10A Hands-on Course on Mechatronics, Based on Modular Production Systems5 citations · 2019