Andrew Razjigaev

Dr Andrew Razjigaev is a PhD Researcher at the Queensland University of Technology (QUT), affiliated with the Medical Robotics Group within the QUT Centre for Robotics. He holds a Mechatronics Engineering degree from QUT (2017) and has been involved in the Medical Robotics Group since 2016, contributing to projects like teleoperating snake robots via hand gestures and visual servoing systems. His research focuses on surgical robotics, particularly developing continuum robots for vision-based teleoperated minimally invasive surgeries.

Education:

• Bachelor of Mechatronics Engineering, Queensland University of Technology (2017)

Research interests include robot arm kinematics, robotic vision, and teleoperation systems. His work integrates computational design algorithms with patient-specific surgical needs, advancing the field of minimally invasive surgery through snake-like manipulators and robotic collaboration (e.g., RAVEN II integration). He has also contributed to projects like CARTMAN, a low-cost Cartesian manipulator that won the Amazon Robotics Challenge, and semantic segmentation techniques for limited training data.

He served as President of the QUT Robotics Club in 2018, developing robot arm workshops focused on control systems and computer vision for students. His contributions span surgical robotics, competition robotics, and medical automation, with a strong emphasis on practical applications and interdisciplinary collaboration.