2021
Data-Driven Intra-Operative Estimation of Anatomical Attachments for Autonomous Tissue Dissection
Eleonora Tagliabue, Diego Dall'Alba, Micha Pfeiffer, Marco Piccinelli, Riccardo Marin, Umberto Castellani +2
RA-L 2021
The execution of surgical tasks by an Autonomous Robotic System (ARS) requires an up-to-date model of the current surgical environment, which has to be deduced from measurements collected during task execution. In this work, we propose to automate tissue dissection tasks by introducing a convolution