Mikhail Sokolov

Papers

Total Citations

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About

Mikhail Sokolov is a leading researcher in the field of surgical robotics, with a primary focus on restoring tactile feedback in minimally invasive procedures. His work addresses a critical limitation of robotic and laparoscopic surgery: the loss of the surgeon’s sense of touch. Sokolov’s major contributions lie in developing instrumental tactile diagnostics and mechanoreceptoric palpation techniques. His most cited paper (2016, 15 citations) establishes the foundational need for tactile feedback in robot-assisted surgery, arguing that current kinesthetic feedback is insufficient for complex tissue characterization. Building on this, his 2017 study (7 citations) introduces a novel method for localizing small, visually undetectable gastrointestinal tumors—a significant clinical challenge. This work has direct implications for improving oncological outcomes by enabling more precise tumor resection. While his citation counts reflect a focused, emerging field, Sokolov’s research is highly influential in surgical robotics, offering a practical pathway toward safer, more intuitive robotic systems. His achievements represent a vital step in bridging the gap between human haptic perception and machine-assisted surgery.