Max Robotics — Global Service Robot Directory + US Certification

About

Kateryna Zinchenko is a leading researcher in medical robotics, specializing in human-robot interaction for minimally invasive surgery (MIS). Her work focuses on developing intuitive control systems that enhance surgical precision and autonomy, with key contributions in speech recognition, virtual reality (VR), and autonomous instrument tracking. Her most influential paper, "A Study on Speech Recognition Control for a Surgical Robot" (2016, 136 citations), pioneered the use of voice commands to control robotic endoscopes, addressing motion ambiguity in surgical settings. She further advanced the field with "Autonomous Endoscope Robot Positioning Using Instrument Segmentation With Virtual Reality Visualization" (2021, 28 citations), which introduced a method for autonomous camera navigation based on surgical tool tracking, improving human-robot cooperation. Zinchenko also developed a VR-based control system for a robotic camera holder (2017, 16 citations), allowing surgeons to direct the endoscope via headset movements. Her work extends to hospital service robots, as seen in her research on cloud-based scheduling for patient guidance (2017). With over 190 total citations, Zinchenko’s innovations in multimodal control—spanning speech, VR, and image processing—are shaping the next generation of intelligent surgical assistants, making procedures safer and more efficient.