Alexandre Banks
BC Centre for Disease Control, University of British Columbia Hospital
Papers
2
Total Citations
7
H-Index
2
About
Dr. Alexandre Banks is at the forefront of advancing human-robot interaction in surgery, with a primary focus on enhancing the perceptual capabilities of robotic surgical systems. His research centers on computer vision, surgical data science, and augmented reality (AR) for training and autonomous manipulation. Dr. Banks’s most impactful work includes the creation of **SurgPose**, a pioneering dataset for articulated robotic surgical tool pose estimation and tracking, which has already garnered 4 citations since its 2025 release. This contribution is critical for enabling downstream applications like AR-guided surgical training and learning-based autonomous control. Additionally, he developed a robust **head motion-corrected eye gaze tracking system** for the da Vinci Surgical System, addressing a long-standing challenge of recalibration drift. This innovation, published in 2024, facilitates point of gaze (POG) as a reliable input modality in robot-assisted surgery. By tackling fundamental problems in tool tracking and gaze interaction, Dr. Banks is laying the groundwork for more intuitive, precise, and autonomous surgical robots, making his work essential reading for researchers in surgical robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2