Papers
6
Total Citations
103
H-Index
5
About
Sanjeev Soni is a robotics researcher whose work sits at the compelling intersection of medical robotics, kinematics, and intelligent control systems. His most significant contributions center on advancing the kinematic modeling of complex manipulators for surgical applications, particularly through his innovative extension of the Denavit-Hartenberg (D-H) parameter method to hybrid manipulators — systems combining open- and closed-loop chains that conventional methods struggled to address. This foundational work, which has garnered 37 citations, opened new pathways for designing more sophisticated robot-assisted surgical systems. Building on this foundation, Soni has developed kinematic models for five- and seven-degree-of-freedom spatial manipulators tailored specifically for medical surgery, accumulating a further 28 citations across these studies. His research also embraces intelligent computational approaches, notably applying Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to solve challenging inverse kinematics problems in path planning, earning 25 citations. Earlier in his career, Soni explored wearable robotics through exoskeleton design for stroke patient rehabilitation using surface electromyography signals, demonstrating the breadth of his commitment to human-centered medical technology. His more recent work on shape memory alloy actuators for miniature flexible tube robots signals continued innovation in surgical robotics instrumentation.
Research Focus
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Top Papers
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