Majid Roshanfar

Concordia University

Papers

12

Total Citations

132

H-Index

8

About

No biography available yet.

Research Focus

Computer science12 · 132 citations
Artificial intelligence11 · 127 citations
Robot10 · 124 citations
Engineering10 · 121 citations
Mechanical engineering7 · 89 citations
Simulation8 · 86 citations
Physics6 · 84 citations
Structural engineering6 · 74 citations
Mathematics5 · 63 citations
Soft robotics4 · 61 citations
Control theory (sociology)4 · 60 citations
Finite element method5 · 60 citations

Key Achievements

8
H-Index
12
Papers
132
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Embedded Six-DoF Force–Torque Sensor for Soft Robots With Learning-Based Calibration
18 citations · 2023
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Concordia University

Top Papers

  1. 1
    Embedded Six-DoF Force–Torque Sensor for Soft Robots With Learning-Based Calibration
    18 citations · 2023
  2. 2
    Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening
    18 citations · 2023
  3. 3
    Cosserat Rod-Based Dynamic Modeling of a Hybrid-Actuated Soft Robot for Robot-Assisted Cardiac Ablation
    15 citations · 2023
  4. 4
    Analytical Modeling and Experimental Validation of a Gelatin-based Shape Sensor for Soft Robots
    15 citations · 2022
  5. 5
    Toward Semi-Autonomous Stiffness Adaptation of Pneumatic Soft Robots: Modeling and Validation
    14 citations · 2021
  6. 6
    Stiffness Adaptation of a Hybrid Soft Surgical Robot for Improved Safety in Interventional Surgery
    13 citations · 2022
  7. 7
    Advanced Robotics for the Next-Generation of Cardiac Interventions
    10 citations · 2025
  8. 8
    Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints
    9 citations · 2024
  9. 9
    Accurate Embedded Force Sensor for Soft Robots with Rate-dependent Deep Neural Calibration
    8 citations · 2022
  10. 10
    A Deep Learning Model for Tip Force Estimation on Steerable Catheters Via Learning-From-Simulation
    5 citations · 2023

Key Collaborators

JDJavad Dargahi10 shared papersAHAmir Hooshiar8 shared papersTTTannaz Torkaman3 shared papersAJAlbert J. Sinusas2 shared papersASAmir Sayadi2 shared papersPFPedram Fekri2 shared papersMSMohammadhossein Salimi2 shared papersBMBobak Mosadegh2 shared papersSJSun-Joo Jang2 shared papersAHAmir Hossein Kaboodrangi1 shared papersRCRenzo Cecere1 shared papersSCS. Chiu Wong1 shared papersSFSeyedfarzad Famouri1 shared papersJKJiwon Kim1 shared papersSTSalar Taki1 shared papers
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