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Real-Time Shape Reconstruction for Clamped Homogenous Kirchhoff Rods and Dual-Arm Manipulation of Linear Deformable Slender Objects

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Control and path planning of continuum robots, as well as robotic manipulation of slender deformable objects rests on a computationally efficient and sufficiently accurate estimation of the shape of the deformable elements, and elastic rods in particular. Ideally, such an estimation should be able to reconstruct the deformation field from the pose of the terminal ends of the rods only. Various approaches that use numerical shooting methods or collocation methods to solve the governing equations were proposed. Such methods aim at computing the shape exactly on the expense of significant computational complexity. In this paper, a highly efficient iterative algorithm is introduced for shape reconstruction of linearly elastic rods undergoing large deformations modeled with the Kirchhoff theory. The method is derived from a 3rd-order approximation of the exact solution. The rods are assumed to be homogenous and to have a constant cross section. The solution method shows an excellent accuracy while being highly efficient at the same time, which makes is applicable for real-time during operation and control.

Original languageEnglish
Title of host publication21st IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA); 49th Mechanisms and Robotics Conference (MR)
Edition1
ISBN (Electronic)9780791889251
DOIs
Publication statusPublished - 27 Oct 2025

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume5

Fields of science

  • 202034 Control engineering
  • 202027 Mechatronics
  • 203013 Mechanical engineering
  • 203027 Internal combustion engines
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 206002 Electro-medical engineering
  • 206001 Biomedical engineering
  • 207109 Pollutant emission
  • 202035 Robotics
  • 203022 Technical mechanics
  • 203015 Mechatronics

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management
  • Digital Transformation

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