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Alberto Favaro

3 accepted papers

2020

Model-Based Robust Pose Estimation for a Multi-Segment, Programmable Bevel-Tip Steerable Needle

RA-L 2020

Bevel-tip steerable needles for percutaneous intervention are prone to torsion determined by the interaction forces with the human tissue. If disregarded, torsion can affect the insertion accuracy inducing a change in the needle tip orientation, which is generally undetectable by tracking devices be

Cited by 14SourceScholar
2020

Optimal Pose Estimation Method for a Multi-Segment, Programmable Bevel-Tip Steerable Needle

IROS 2020poster

Needle pose tracking is fundamental to achieve a precise and safe insertion in minimally-invasive percutaneous interventions. In this work, a method for estimating the full pose of steerable needles is presented, considering a four-segment Programmable Bevel-Tip Needle (PBN) as a case study. The met…

Cited by 1SourceScholar
2018

Automatic Optimized 3D Path Planner for Steerable Catheters with Heuristic Search and Uncertainty Tolerance

ICRA 2018poster

In this paper, an automatic planner for minimally invasive neurosurgery is presented. The solution provides the neurosurgeon with the best path to connect a user-defined entry point with a target in accordance with a specific cost function. The approach guarantees the avoidance of obstacles which ca…

Cited by 39SourceScholar