Papers
14
Total Citations
147
H-Index
8
About
Syed Humayoon Shah is a robotics and control systems researcher whose work spans robotic machining, compliant manipulation, assistive robotics, and multi-robot systems. His most significant contributions lie at the intersection of industrial robotics and precision surface finishing, where he has developed innovative solutions for trajectory planning, pose estimation, and real-time correction on complex curved surfaces. His 2023 paper on propeller blade sharpening with grinding compensation strategies leads his citation record with 25 citations, while his work on compliant end-effector design and force/torque sensor-based pose correction — each garnering over 17 citations — has meaningfully advanced the field of robot-based machining on unknown geometries. Beyond industrial applications, Shah has made notable contributions to assistive and rehabilitation robotics, designing affordable robotic walk-assist devices and lower limb exoskeletons with compliance and adaptive control strategies tailored for accessibility in low-income settings. His agricultural robotics work, including a compliant gripper for orange harvesting, further demonstrates his versatility. With a growing body of work now extending into humanoid robot motion planning and multi-robot patrol architectures, Shah's research collectively reflects a commitment to bridging theoretical control frameworks with practical, human-centered robotic applications. His cumulative citation impact underscores his rising influence across multiple robotics subfields.
Research Focus
Key Achievements
Top Papers
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- 5Design and Compliance Control of a Robotic Gripper for Orange Harvesting14 citations · 2019
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- 7Design and Adaptive Compliance Control of a Wearable Walk Assist Device10 citations · 2023
- 8Humanoid Robot Motion Planning Approaches: a Survey9 citations · 2024
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- 10Adaptive Learning Inertia Control of Lower Limb Exoskeleton Robot7 citations · 2021