Papers
14
Total Citations
388
H-Index
10
About
Hamza Khan is a robotics and control systems researcher whose work spans rehabilitation robotics, legged locomotion, autonomous mobile robots, and sensor technology. He is perhaps best known for his pioneering development of a novel exoskeleton robotic system for hand rehabilitation, which has garnered 140 citations and represents a significant contribution to assistive and medical robotics. His research on autonomous wheeled mobile robots — particularly his logic-based control scheme addressing both longitudinal and lateral wheel slip during trajectory tracking — has further cemented his reputation in mobile robotics, earning over 50 citations. Khan has also made notable contributions to legged robotics, contributing to the development of MiniHyQ, one of the lightest hydraulic quadruped robots ever constructed, and exploring bio-inspired knee joint mechanisms to enhance dynamic versatility in rough-terrain navigation. His work on scalable strain gauge-based joint torque sensors addresses critical measurement challenges in robotic systems. Beyond research, Khan has demonstrated a commitment to education, designing a track-drive robotic framework specifically to help students engage hands-on with robotics and control systems concepts. With expertise spanning SLAM, computer vision, and genetic algorithm-based task optimization, his body of work reflects a broad yet deeply interconnected vision of intelligent, adaptive robotics.
Research Focus
Key Achievements
Top Papers
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- 4Towards Scalable Strain Gauge-Based Joint Torque Sensors36 citations · 2017
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- 6Bio-inspired knee joint mechanism for a hydraulic quadruped robot26 citations · 2015
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- 9A Unified SLAM Solution Using Partial 3D Structure13 citations · 2014
- 10DESIGN AND SCALING OF VERSATILE QUADRUPED ROBOTS12 citations · 2012