A. Babazadeh

Papers

Total Citations

H-Index

About

A. Babazadeh is a researcher whose work lies at the intersection of advanced electromagnetic machine design and optimal control theory for robotic systems. Their most significant contribution is the development of a novel analytical model for transverse flux machines (TFMs) tailored for direct-drive robots. This work, which has garnered 25 citations, addresses the critical need for high-torque, low-speed actuators by approximating air-gap permeance using quasi-flux tubes, enabling more accurate performance prediction without heavy computational cost. In parallel, Babazadeh has made notable strides in the optimal control of complex robotic systems. Their research introduces a hierarchical, decomposition-coordination approach for controlling multiple-arm manipulators, using gradient-based methods to manage the inherent non-linearity and large-scale dynamics. This framework, detailed in two related papers (each with 7 citations), offers a practical solution for coordinating multiple robotic arms, reducing computational burden while maintaining optimal performance. By bridging the gap between bespoke electromagnetic hardware and sophisticated control strategies, Babazadeh’s work provides foundational tools for engineers designing next-generation, high-performance robotic systems.