4 accepted papers
Automatic recognition of surgical workflow is a growing area of interest with significant potential to become part of context-aware decision-support systems in future enhanced ORs and clinical suites. Applications range from post-operative analysis to intra-operative monitoring to providing automate…
This paper presents a vision-based learning-by-demonstration approach for multi-robot manipulation. With this method, a vision system is involved in both the task demonstration and reproduction stages, and the speed and accuracy of the task reproduction are adapted according to the context of the de…
Robot-assisted minimally invasive surgery can benefit from the automation of common, repetitive or well-defined but ergonomically difficult tasks. One such task is the scanning of a pick-up endomicroscopy probe over a complex, undulating tissue surface to enhance the effective field-of-view through…
Traditional robotic surgical systems rely entirely on robotic arms to triangulate articulated instruments inside the human anatomy. This configuration can be ill-suited for working in tight spaces or during single access approaches, where little to no triangulation between the instrument shafts is p…