Elham Khoshbin

Université du Québec à Chicoutimi

Papers

1

Total Citations

2

H-Index

1

About

Elham Khoshbin is a robotics researcher specializing in adaptive control systems for cable-driven parallel mechanisms. Her work focuses on developing intelligent control strategies that enable precise motion and stability in complex robotic systems with dynamic configurations. Her most cited paper, "Design an Adaptive PID Control Based on RLS with a Variable Forgetting Factor for a Reconfigurable Cable-Driven Parallel Mechanism" (2025, 2 citations), introduces a novel two-layer adaptive PID controller for a six-degree-of-freedom cable-driven parallel robot with eight cables. This controller effectively handles real-time changes in attachment point positions, a critical challenge in reconfigurable robotics. Khoshbin’s contributions advance the field by combining recursive least squares (RLS) estimation with adaptive gain tuning, improving pose accuracy and robustness in dynamic environments. Her work has implications for applications in manufacturing, rehabilitation, and aerospace, where cable-driven robots offer flexibility and scalability. As an emerging researcher, her innovative approach to adaptive control is gaining attention for addressing practical challenges in reconfigurable systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design an Adaptive PID Control Based on RLS with a Variable Forgetting Factor for a Reconfigurable Cable-Driven Parallel Mechanism
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Université du Québec à Chicoutimi

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago