Papers

6

Total Citations

52

H-Index

5

About

Mohsen Mohammadi is a multidisciplinary robotics and materials researcher whose work spans soft robotics, electromagnetic actuation, and kinematic analysis of parallel and serial manipulators. His most impactful recent contributions lie at the intersection of soft robotics and electronic skin technologies, where he has developed innovative electromagnetic vibrotactile and ultrasoft actuators with integrated sensing capabilities. His 2023 work on soft electromagnetic vibrotactile actuators (19 citations) addresses critical challenges in wearable haptic devices, enabling seamless skin integration through improved mechanical compliance and closed-loop sensing-actuation feedback. A companion study introduced cellulose nanofibril foam-based actuators with embedded strain sensing (11 citations), advancing the safety and dexterity requirements of human-collaborative robots. Earlier in his career, Mohammadi made notable contributions to parallel robot kinematics, including a comparative sensitivity analysis of revolute and prismatic Delta robots (10 citations) and the development of weighted kinematic sensitivity frameworks that address inherent limitations in conventional performance metrics. His dynamic modeling work on serial manipulators employs Sobol's sensitivity method to rigorously characterize parameter uncertainty. Collectively, Mohammadi's research reflects a trajectory from classical robot mechanics toward cutting-edge soft, bio-inspired systems, positioning him as an emerging voice in next-generation robotics and wearable technology.

Research Focus

Key Achievements

5
H-Index
6
Papers
52
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Soft Electromagnetic Vibrotactile Actuators with Integrated Vibration Amplitude Sensing
19 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Linköping University, University of Tehran, Sharif University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago