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About

Mohammadreza Arbabtafti is a leading figure in the intersection of robotics, haptics, and medical simulation, whose work bridges mechanical engineering and virtual reality. His research focuses on developing intelligent robotic systems for inspection and surgical training, with major contributions in pipe-crawling mechanisms and haptic interfaces. His most cited work, "IN-PIPE INSPECTION CRAWLER ADAPTABLE TO THE PIPE INTERIOR DIAMETER" (27 citations), introduces a novel three-track mechanism that autonomously adapts to varying pipe diameters, solving a critical challenge in pipeline maintenance. Arbabtafti’s impact extends to medical simulation through "VirSense" (16 citations), a six-DOF haptic device with fixed-base motors and gravity compensation, enabling realistic force feedback for surgical training. He further advanced this field with "Virtual Reality Haptic Simulation of Root Canal Therapy" (11 citations), creating a VR simulator that uses patient-specific CT data and Marching Cubes algorithms for endodontic procedures. His work on "Virtual Bone Surgery Using a Haptic Robot" (5 citations) and model-based control for electro-hydraulic servo systems (11 citations) demonstrates his versatility in both soft-tissue and rigid-body simulation. Arbabtafti’s research has been cited over 70 times, establishing him as a key innovator in haptic robotics for medical and industrial applications.