Alberto Arezzo — accepted AI-conference papers

2022

Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study

Ameya Pore, Martina Finocchiaro, Diego Dall'Alba, Albert Hernansanz, Gastone Ciuti, Alberto Arezzo +3

IROS 2022poster

Flexible Endoscopes (FEs) for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic FEs with autonomous control represent a viable solution to reduce the workload of endoscopists and the training ti…

Cited by 16 Source ↗code ↗Scholar ↗

2019

Actuation and stiffening in fluid-driven soft robots using low-melting-point material

Jan Peters, Erin Nolan, Mats Wiese, Mark Miodownik, Sarah Spurgeon, Alberto Arezzo +2

IROS 2019poster

Soft material robots offer a number of advantages over traditional rigid robots in applications including human-robot interaction, rehabilitation and surgery. These robots can navigate around obstacles, elongate, squeeze through narrow openings or be squeezed - and they are considered to be inherent…

Cited by 41 Source ↗Scholar ↗

2017

A Novel Robotic Meshworm With Segment-Bending Anchoring for Colonoscopy

Julius E. Bernth, Alberto Arezzo, Hongbin Liu

RA-L 2017

This letter introduces the design and evaluation of a novel worm-inspired, multisegment robotic endoscope with multiple degrees of freedom segments. The novelty of this design is that the robot is able to drive forwards and backwards, anchor itself, steer while inside a tubular structure and control

Cited by 62 Source ↗Scholar ↗