Christopher J. Hasser

Intuitive Surgical (United States), Johns Hopkins University

Papers

7

Total Citations

229

H-Index

6

About

Christopher J. Hasser is a pioneering figure in the field of surgical robotics, with a career dedicated to enhancing the capabilities of robot-assisted surgery through advanced human-machine interaction. His research focuses on three key areas: haptic feedback for sensory substitution, collaborative surgical training, and advanced visualization systems. Hasser’s major contributions include developing dynamic augmented reality techniques that substitute haptic cues with visual information, addressing a critical limitation in teleoperated systems where force feedback is often absent. This work, published in 2006, has garnered 69 citations and remains foundational in the field. He also led the creation of the first dual-console da Vinci system, enabling collaborative control and mentorship during robotic surgery—a breakthrough cited 57 times that transformed surgical training. His development of 3-D telestration tools (34 citations) further advanced teaching in robotic surgery by overlaying expert annotations onto live 3D video. Hasser also contributed to the Surgical Assistant Workstation (SAW), an open-source software framework that accelerates prototyping of computer-assisted surgery systems. His work on robot-assisted laparoscopic ultrasound for hepatic surgery (27 citations) underscores his commitment to expanding the clinical applications of robotics. Through these innovations, Hasser has significantly improved surgical precision, training, and collaboration.

Research Focus

Key Achievements

6
H-Index
7
Papers
229
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Augmented Reality for Sensory Substitution in Robot-Assisted Surgical Systems
69 citations · 2006
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Intuitive Surgical (United States), Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago