Amin Ghorbanpour
Papers
5
Total Citations
31
H-Index
4
About
Amin Ghorbanpour is a robotics and control systems researcher whose work sits at the intersection of energy efficiency, motor control, and robotic manipulation. His research focuses primarily on optimizing energy consumption in robot manipulators driven by brushless DC (BLDC) motors, with a particular emphasis on integrating energy regeneration strategies directly into motion control frameworks. Ghorbanpour's most influential contribution, cited 11 times, introduced a pioneering approach to simultaneous energy regeneration and motion control in robotic systems using semi-active joints connected to ultracapacitors — a concept that bridges sustainable engineering with high-performance robotics. Building on this foundation, his subsequent work developed novel independent-phase and direct-phase BLDC motor drive architectures, advancing the energy efficiency of robotic drives through innovative voltage-based control methods. More recently, Ghorbanpour has expanded his scope to cooperative robot manipulators, proposing energy-optimal impedance control schemes that balance trajectory tracking accuracy with minimal power consumption. His 2023 overview of cooperative manipulator dynamics and control, already garnering 7 citations, reflects his growing role as a synthesizer of knowledge in this rapidly evolving field. Collectively, his work offers meaningful contributions toward more sustainable and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Energy-Optimal Impedance Control of Cooperative Robot Manipulators6 citations · 2022
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