Saber Mahboubi Heydarabad

University of Salford

Papers

2

Total Citations

11

H-Index

2

About

Saber Mahboubi Heydarabad specializes in bioinspired robotics and adaptive control systems, with a focus on enhancing robotic manipulation and locomotion. His major contribution lies in developing high-performing adaptive grasp strategies for robotic grippers, as demonstrated in his most-cited work on super twisting sliding mode control (2017, 9 citations). This research addresses the critical challenge of grasping objects with unpredictable geometries and mass distributions, ensuring sufficient force to prevent slippage while avoiding damage—a key advancement for industrial and service robotics. Heydarabad also explores bioinspired mobile manipulators with rolling locomotion (2016, 2 citations), drawing from natural mechanisms to improve robot mobility and versatility. His work bridges theoretical control methods and practical robotic applications, offering solutions for dynamic, uncertain environments. Though his citation counts are modest, his research contributes foundational insights to adaptive grasping and biomimetic design, making it relevant for students and researchers in robotics, control engineering, and mechatronics seeking robust, real-world robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
High-performing adaptive grasp for a robotic gripper using super twisting sliding mode control
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Salford

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago