Papers
11
Total Citations
190
H-Index
8
About
Muhammad Mubasher Saleem is a leading researcher in tactile sensing and force feedback technologies for robotic surgical systems, with a particular focus on multi-axis, high-sensitivity sensors. His work spans capacitive, inductive, magnetic, and piezoelectric sensing modalities, all aimed at replicating the human sense of touch in surgical robots. His most cited paper (49 citations) introduces a soft multi-axis magnetic tactile sensor designed to decouple normal, shear, and angular forces for force feedback in robotic surgery. He has also made significant contributions to human activity recognition using 2D skeleton data and supervised machine learning (41 citations), and to high-sensitivity capacitive tactile force sensors for robot-assisted surgery (30 citations). Saleem’s innovations include designs leveraging fringing electric fields, magnetorheological elastomers, and mode-localization in MEMS gyroscopes. His work consistently emphasizes low-cost, high-sensitivity, and fully decoupled force measurement—critical for safe and precise surgical robotics. With over 190 cumulative citations and multiple recent publications in top venues, Saleem is shaping the future of haptic feedback in minimally invasive and robot-assisted surgery.
Research Focus
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