scholarly journals Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor

2021 ◽  
Vol 8 ◽  
Author(s):  
Heiko Donat ◽  
Jiecong Gu ◽  
Jochen J. Steil

Shape-sensing in real-time is a key requirement for the development of advanced algorithms for concentric tube continuum robots when safe interaction with the environment is important e.g., for path planning, advanced control, and human-machine interaction. We propose a real-time shape-estimation algorithm for concentric tube continuum robots based on the force-torque information measured at the tubes’ basis. It extends a shape estimation algorithm for elastic rods based on discrete Kirchhoff rod theory. For simplicity and efficiency of calculation, we combine it with a model under piece-wise constant curvature assumption, in which we model a concentric tube continuum robot as a combination of segments of planar constant curvatures lying on different equilibrium planes. We evaluate our approach for a single and two combined additively manufactured tubes and achieve an estimation frequency of 333 Hz for two combined tubes with a mean deviation along the backbone of the tubes of 1.91–5.22 mm.

Author(s):  
Shuang Song ◽  
Changchun Zhang ◽  
Jiaole Wang ◽  
Hongliang Ren ◽  
Max Q.-H. Meng

Author(s):  
Aditya Kotikalpudi ◽  
Brian P. Danowsky ◽  
David K. Schmidt ◽  
Christopher D. Regan ◽  
Abhineet Gupta

Robotica ◽  
2005 ◽  
Vol 23 (5) ◽  
pp. 645-651 ◽  
Author(s):  
M. W. Hannan ◽  
I.D. Walker

This paper describes external camera-based shape estimation for continuum robots. Continuum robots have a continuous backbone made of sections which bend to produce changes of configuration. A major difficulty with continuum robots is the determination of the robot's shape, as there are no discrete joints. This paper presents a method for shape determination based on machine vision. Using an engineered environment and image processing from a high speed camera, shape determination of a continuum robot is achieved. Experimental results showing the effectiveness of the technique on our Elephant's Trunk Manipulator are presented.


Author(s):  
Aditya Kotikalpudi ◽  
David K. Schmidt ◽  
Christopher D. Regan ◽  
Peter J. Seiler

2015 ◽  
Vol 15 (11) ◽  
pp. 6326-6334 ◽  
Author(s):  
Shuang Song ◽  
Zheng Li ◽  
Max Q.-H. Meng ◽  
Haoyong Yu ◽  
Hongliang Ren

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