research
∙
05/06/2023
Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review
Increased demand for less invasive procedures has accelerated the adopti...
share
research
∙
03/06/2023
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation
The field of robotic Flexible Endoscopes (FEs) has progressed significan...
research
∙
02/21/2023
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Automatic recognition of fine-grained surgical activities, called steps,...
research
∙
08/02/2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods
Causal relationships are commonly examined in manufacturing processes to...
research
∙
06/30/2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study
Flexible endoscopes for colonoscopy present several limitations due to t...
research
∙
03/10/2022
Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty
Autonomous robotic surgery requires deliberation, i.e. the ability to pl...
research
∙
10/01/2021
Learning from Demonstrations for Autonomous Soft-tissue Retraction
The current research focus in Robot-Assisted Minimally Invasive Surgery ...
research
∙
09/06/2021
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery
Deep Reinforcement Learning (DRL) is a viable solution for automating re...
research
∙
02/24/2021
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Purpose: Automatic segmentation and classification of surgical activity ...
research
∙
02/08/2021