Farrukh Zeeshan Khan
Papers
1
Total Citations
2
H-Index
1
About
Farrukh Zeeshan Khan is a robotics researcher whose work centers on humanoid locomotion, control systems, and disturbance detection in bipedal robots. His most-cited paper, "Locomotion Classification of Bipedal Humanoid Robot using Fast Fourier Transform" (2022), introduces a simple yet robust methodology for identifying external disturbances during unidirectional walking—a critical challenge for robots interacting with unpredictable environments. By leveraging Fast Fourier Transform analysis, Khan’s approach enables real-time classification of locomotion states, enhancing the stability and safety of humanoid robots. Though early in his career, his contributions address foundational problems in bipedal robotics, with potential applications in assistive technology, disaster response, and autonomous navigation. His work reflects a commitment to bridging theoretical control methods with practical robotic systems, offering students and researchers a clear pathway into the complexities of humanoid motion and sensor-based disturbance handling.
Research Focus
Key Achievements
Top Papers
- 1