Auwalu M. Abdullahi

Chulalongkorn University, Bayero University Kano

Papers

5

Total Citations

57

H-Index

3

About

Auwalu M. Abdullahi is a robotics researcher whose work focuses on the intersection of rehabilitation engineering and intelligent control systems. His primary research areas include compliant control for exoskeletons, adaptive backstepping control, and sensorless interaction torque estimation, with a strong emphasis on improving safety and autonomy in robotic physiotherapy. His most cited work, "Hybrid Adaptive Impedance and Admittance Control Based on the Sensorless Estimation of Interaction Joint Torque for Exoskeletons" (2024, 25 citations), proposes a novel framework that enables rehabilitation robots to safely interact with patients without requiring external torque sensors. Building on this, his paper "Variable Integral Adaptive Backstepping Hysteresis Admittance Compliant Control of Sensorless Single Joint Exoskeletons With Unknown Parameters" (2024, 8 citations) introduces an advanced control strategy that adapts to uncertain system dynamics, further enhancing the precision and safety of robotic rehabilitation. Abdullahi also contributed to industrial automation with his work on an "Automated liquid filling system with a robotic arm conveyor for small scale industries" (2021, 20 citations). His earlier research on biased robust composite nonlinear feedback control and intelligent controllers for two-wheeled inverted pendulum robots demonstrates a broad expertise in underactuated and nonlinear systems. With over 57 citations across his publications, Abdullahi is establishing himself as a promising voice in the field of compliant and adaptive robotic control.

Research Focus

Key Achievements

3
H-Index
5
Papers
57
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Adaptive Impedance and Admittance Control Based on the Sensorless Estimation of Interaction Joint Torque for Exoskeletons: A Case Study of an Upper Limb Rehabilitation Robot
25 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Chulalongkorn University, Bayero University Kano

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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