Mohammad Bahari

Tampere University

Papers

2

Total Citations

8

H-Index

2

About

Mohammad Bahari is an emerging researcher specializing in advanced control systems, electrified robotics, and heavy-duty mechatronic systems. His work sits at the intersection of cleantech engineering and intelligent automation, with a particular focus on electromechanical linear actuators (EMLAs) and their application in next-generation robotic manipulators. Bahari's most notable contribution to date is his development of a robustness-guaranteed, observer-based modular control strategy for fully electrified heavy-duty robotic manipulators with n-degree-of-freedom configurations. This work, which has already garnered 6 citations since its 2024 publication, addresses critical challenges in system reliability and modularity — qualities essential for real-world industrial deployment. Complementing this, his research on system-level performance metrics sensitivity in electrified heavy-duty mobile manipulators (HDMMs) reflects a broader commitment to understanding how electric and hybrid powertrains reshape the performance landscape of autonomous and mobile robotic systems. Though early in his publishing career, Bahari's contributions are timely and highly relevant, aligning with global trends toward electrification and sustainable robotics. Students and engineers working in autonomous systems, cleantech mobility, or advanced control theory will find his research a valuable reference for bridging theoretical robustness guarantees with practical engineering challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robustness-Guaranteed Observer-Based Control Strategy With Modularity for Cleantech EMLA-Driven Heavy-Duty Robotic Manipulator
6 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tampere University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago