Papers
3
Total Citations
20
H-Index
2
About
Rahman Davoodi’s research lies at the intersection of biomechanics, motor control, and medical robotics, with a focus on understanding how the human nervous system resolves redundancy in movement and translating those insights into surgical technologies. His most influential work, a 2008 study on rhythmic multijoint arm movement, demonstrates that neuromuscular and biomechanical factors jointly determine how the motor system selects one solution from infinite possibilities—a key contribution to the field of motor redundancy, cited 10 times. In the domain of surgical robotics, Davoodi has advanced minimally invasive systems through optimization-based inverse kinematic analysis. His 2015 paper on an experimental robotic surgery platform, which pairs a Phantom Omni haptic device with a 7-DOF Barrett arm for remote center of motion control, has garnered 8 citations and highlights his ability to bridge theoretical optimization with practical hardware. He further developed a compact, low-cost tele-surgery system featuring stereo vision and master-slave control, enabling real-time 3D tracking for simulation and evaluation. Davoodi’s work is notable for its dual impact: deepening our fundamental understanding of human movement while creating accessible tools for robotic surgery, making him a valuable resource for students and researchers exploring motor control or medical robotics.
Research Focus
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Top Papers
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