Advanced Sensing for Surgical Perception
Developing sensing technologies and perception methods that improve situational awareness during minimally invasive surgery.
Safe and effective surgical autonomy depends on a detailed understanding of the operative environment. Our research develops advanced sensing technologies and perception methods that provide surgical robotic systems with richer, more reliable information than vision alone. By integrating complementary sensing modalities, we seek to improve situational awareness, tissue-interaction understanding, and decision-making during minimally invasive procedures.
Our work focuses on force sensing, ultrasound imaging, soft sensors, and multimodal sensor fusion to capture information that is difficult or impossible to obtain using conventional laparoscopic cameras. These sensing technologies enable more accurate perception of tissue properties, instrument interactions, and the surgical scene, providing the foundation for intelligent control and autonomous assistance on existing robotic platforms.
Collaborators
- University of Leeds clinical collaborators
- Industrial collaborators
- International academic collaborators
Publications
See our full list of publications on Google Scholar.