Luke A. Reisner

About

Luke A. Reisner is a biomedical robotics researcher whose career has centered on transforming how cameras are controlled during minimally invasive and robotic surgery. His work addresses a fundamental challenge in laparoscopic and telerobotic procedures: surgeons must simultaneously manage instrument manipulation and camera positioning, creating cognitive overload and workflow disruptions. Reisner has dedicated over a decade to developing autonomous and intelligent camera control systems that remove this burden from the operating surgeon. His early contributions include integrating eye-gaze tracking with the Aesop robotic arm to enable hands-free, intuitive camera guidance (44 citations), and conducting systematic task analyses of camera control schemes to inform better design (20 citations). As the da Vinci Surgical System became the dominant platform, Reisner advanced autonomous camera algorithms directly onto it, demonstrating robustness in realistic surgical scenarios (42 citations). His 2014 review of camera viewpoint automation (85 citations) remains a foundational reference in the field. More recently, he has contributed head-mounted display interfaces for enhanced remote presence (31 citations), a synchronized recording and playback platform for surgical training (23 citations), and an entropy-based method for detecting intraoperative bleeding (9 citations). Collectively, his research is shaping the future of intelligent, surgeon-assistive robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review of Camera Viewpoint Automation in Robotic and Laparoscopic Surgery

   85 citations · 2014
2. 2
   Eye gaze tracking for endoscopic camera positioning: an application of a hardware/software interface developed to automate Aesop.

   44 citations · 2008
3. 3
   Towards an Autonomous Robot for Camera Control During Laparoscopic Surgery

   43 citations · 2013
4. 4
   Development and evaluation of an autonomous camera control algorithm on the da Vinci Surgical System

   42 citations · 2019
5. 5
   Remote Presence: Development and Usability Evaluation of a Head-Mounted Display for Camera Control on the da Vinci Surgical System

   31 citations · 2019
6. 6
   A Robotic Recording and Playback Platform for Training Surgeons and Learning Autonomous Behaviors Using the da Vinci Surgical System

   23 citations · 2019
7. 7
   Task analysis of laparoscopic camera control schemes

   20 citations · 2015
8. 8
   Towards the Implementation of an Autonomous Camera Algorithm on the da Vinci Platform.

   13 citations · 2016
9. 9
   An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery

   9 citations · 2020

Key Collaborators

Contact & Links