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Philippe Zanne

4 accepted papers

2025

Probabilistic Motion Model Learning for Tendon Actuated Continuum Robots with Backlash

IROS 2025

In this paper, we propose a probabilistic motion model for tendon actuated continuum robots that experience actuation transmission non-linearities due to cable slack and cable-sheath friction. The model is based on a Lie group formulation of the robot’s end-effector pose that incorporates a new simp

Cited by 0SourceScholar
2021

Image-Guided Control of an Endoscopic Robot for OCT Path Scanning

RA-L 2021

Optical coherence tomography (OCT) endoscopic catheters provide efficient solutions for the non-invasive scan of malignant tissues in internal human organs. In this letter, we investigate the image-guided control of a robotic flexible endoscopic system equipped with an OCT probe for autonomous tissu

Cited by 22SourceScholar
2020

Towards In Situ Backlash Estimation of Continuum Robots Using an Endoscopic Camera

RA-L 2020

Accurate control of continuum robots requires handling non-linear behaviors between actuators and distal effectors. In this letter, we develop a method for estimating the non-linearities of tendon-driven degrees of freedom of flexible endoscopic systems by using a distal endoscopic camera and encode

Cited by 15SourceScholar
2019

Position control of medical cable-driven flexible instruments by combining machine learning and kinematic analysis

ICRA 2019poster

Non-linearities in cable transmissions are important limitations for the accurate control of flexible instruments used in medical endoscopic systems. Hysteresis effects greatly impact the accuracy of conventional kinematic models. This is especially critical for implementing automatic motions in fle…

Cited by 32SourceScholar