Yunus Schmirander
Papers
5
Total Citations
167
H-Index
4
About
Yunus Schmirander is a leading researcher in medical robotics, specializing in human–robot interaction, bilateral teleoperation, and adaptive control for minimally invasive surgery (MIS). His major contributions center on developing human activity-aware shared control solutions that seamlessly switch between hands-on and teleoperated modes during surgical procedures, significantly enhancing precision and safety. Schmirander has pioneered model-free tool dynamic identification using multi-layer neural networks, enabling reliable force estimation without physical sensors—a breakthrough for robot-assisted surgery. His work on bilateral teleoperation control of redundant manipulators with Remote Center of Motion (RCM) kinematic constraints, employing energy tank models for haptic feedback, has garnered over 41 citations. More recently, he has advanced neural-learning-enhanced Cartesian admittance control to handle dynamic, moving RCM constraints, pushing the boundaries of autonomous surgical assistance. With cumulative citations exceeding 160, Schmirander’s research is widely recognized for bridging control theory and clinical application. His asymmetric bimanual control framework for dual-arm serial manipulators further underscores his impact, offering novel solutions for complex, multi-tool MIS environments. Schmirander’s work continues to shape the future of intelligent, adaptive robotic systems in medicine.
Research Focus
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Top Papers
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