Amir Ata Nikjoo

University of Tabriz

Papers

1

Total Citations

2

H-Index

1

About

Amir Ata Nikjoo is a rising researcher in the field of rehabilitation robotics, with a primary focus on intelligent control systems for assistive exoskeletons. His work centers on developing adaptive control strategies that enhance the precision and responsiveness of lower limb exoskeleton robots, critical for effective rehabilitation therapies. His most-cited paper, "Design of Adaptive PID Controller for Lower Limb Exoskeleton Robot Based on Improved Black Hole Optimization" (2023), introduces a novel optimization algorithm to fine-tune PID controllers, enabling exoskeletons to adapt dynamically to patient movements. This contribution addresses a key challenge in rehabilitation robotics—balancing stability with adaptability—and has already garnered early citations, signaling its potential impact. Nikjoo’s research bridges computational intelligence and mechanical design, offering practical solutions for improving patient outcomes in physical therapy. As his work gains traction, he is establishing himself as an innovator in adaptive control for medical robotics, with future contributions likely to shape the next generation of smart rehabilitation devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design of Adaptive PID Controller for Lower Limb Exoskeleton Robot Based on Improved Black Hole Optimization
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Tabriz

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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