Ado Haruna

Chulalongkorn University

Papers

3

Total Citations

41

H-Index

3

About

Ado Haruna is a rising researcher in the field of rehabilitation robotics and control systems, with a focus on developing safe, intelligent, and compliant control strategies for exoskeletons and robotic manipulators. His work addresses critical challenges in human-robot interaction, particularly for upper limb rehabilitation robots used in physiotherapy. Haruna’s most cited paper (2024, 25 citations) introduces a hybrid adaptive impedance and admittance control method that enables sensorless estimation of interaction joint torque, enhancing patient safety during robotic therapy. He further advances compliant control with a variable integral adaptive backstepping hysteresis admittance controller (2024, 8 citations), designed for single-joint exoskeletons with unknown parameters. Earlier work includes a comparative performance analysis of PID, PD, and fuzzy controllers for 3-DOF robot manipulators (2019, 8 citations), demonstrating his foundational expertise in industrial automation. Haruna’s contributions are notable for their practical emphasis on sensorless control and adaptive algorithms, which reduce hardware complexity while improving safety and adaptability in rehabilitation settings. With a growing citation record, his research is gaining traction among engineers developing next-generation assistive robots.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
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: 5
🏛 Institutions: Chulalongkorn University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago