Rana Iqtidar Shakoor
Papers
2
Total Citations
66
H-Index
2
About
Rana Iqtidar Shakoor is a leading researcher in soft robotics and tactile sensing, with a focus on advancing haptic feedback for robotic surgical systems. His work centers on developing innovative, multi-axis force sensors that enable precise force feedback—critical for enhancing the dexterity and safety of surgical robots. Shakoor’s major contributions include the design of a soft magnetic tactile sensor capable of decoupling normal, shear, and angular forces, as detailed in his highly cited 2022 paper (49 citations). He also pioneered the use of magnetorheological elastomers in inductive tactile sensors, achieving three-axis high-range force detection (17 citations). These sensors, fabricated using rapid prototyping and PCB-based coils, offer low-cost, high-performance solutions for real-time force feedback. Shakoor’s research has significant implications for minimally invasive surgery, where accurate tactile sensing can reduce tissue damage and improve surgical outcomes. His work is widely recognized for bridging the gap between soft materials and robust sensing, earning him a reputation as a key innovator in medical robotics. With growing citation impact, Shakoor continues to push the boundaries of tactile sensor technology for next-generation surgical tools.
Research Focus
Key Achievements
Top Papers
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