Joint MECHATRONICS 2025, ROBOTICS 2025 Paper Abstract

Close

Paper WeBT5.5

Chaari, Mahdi (ICube Laboratory, CNRS, University of Strasbourg), Nageotte, Florent (ICube Laboratory, CNRS, University of Strasbourg)

Probabilistic Motion Model for Tendon Actuated Continuum Robots with Actuator Non-Linearities

Scheduled for presentation during the Regular Session "Soft Robotics" (WeBT5), Wednesday, July 16, 2025, 15:20−15:40, Room 109

Joint 10th IFAC Symposium on Mechatronic Systems and 14th Symposium on Robotics, July 15-18, 2025, Paris, France

This information is tentative and subject to change. Compiled on July 16, 2025

Keywords Modeling and identification, Learning robot control, Robot surgery

Abstract

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 simple backlash model. Bayesian parameter estimation is then employed to learn a probability distribution over the model's parameters. This allows the uncertainty over the parameters to be propagated in the prediction of the end-effector's trajectory. The model's predictive capabilities are compared against the static Cosserat-rod-based model and the Kirchhoff model.

 

Technical Content Copyright © IFAC. All rights reserved.


This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2025 PaperCept, Inc.
Page generated 2025-07-16  14:50:56 PST   Terms of use