Papers
68
Total Citations
1,816
H-Index
22
About
Jacques Gangloff is a pioneering robotics researcher whose work sits at the intersection of medical robotics, visual servoing, and predictive control. Based at the University of Strasbourg, he has made transformative contributions to the challenge of compensating for involuntary biological motion in robotic surgery — one of the most critical barriers to precise, minimally invasive procedures. His landmark 2005 paper on active filtering of physiological motion using predictive control (240 citations) and his 2006 work on robotic compensation of heartbeat and respiratory motion (120 citations) established foundational techniques that allow surgical robots to track and counteract the quasi-periodic movements of beating hearts and breathing lungs without requiring invasive stabilization methods like cardiopulmonary bypass. His complementary research on high-speed visual servoing — including autonomous instrument positioning in laparoscopic surgery (209 citations) and 500 Hz beating heart tracking — demonstrated that real-time vision-based control could meet the demanding temporal requirements of live surgical environments. Beyond surgery, Gangloff has extended his expertise to cable-driven parallel robots and CT-guided interventional platforms, reflecting a remarkably broad and impactful research portfolio that has collectively accumulated over 800 citations and continues to influence both academic robotics and clinical innovation.
Research Focus
Key Achievements
Top Papers
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- 3Robotic Compensation of Biological Motion to Enhance Surgical Accuracy120 citations · 2006
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- 6A Patient-Mounted Robotic Platform for CT-Scan Guided Procedures74 citations · 2008
- 7
- 8Visual servoing of a 6-DOF manipulator for unknown 3-d profile following61 citations · 2002
- 9
- 10Motion Prediction for Computer-Assisted Beating Heart Surgery45 citations · 2009