Title :
Controlling a robotically steered needle in the presence of torsional friction
Author :
Reed, Kyle B. ; Okamura, Allison M. ; Cowan, Noah J.
Author_Institution :
Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A flexible needle can be accurately steered by robotically controlling the orientation of the bevel tip as the needle is inserted into tissue. Here, we demonstrate the significant effect of friction between the long, flexible needle shaft and the tissue, which can cause a significant discrepancy between the orientation of the needle tip and the orientation of the base where the needle is controlled. Our experiments show that several common phantom tissues used in needle steering experiments impart substantial frictional forces to the needle shaft, resulting in a lag of over 45deg for a 10 cm insertion depth in some phantoms; clinical studies have reported torques large enough to could cause similar errors during needle insertions. Such angle discrepancies will result in poor performance or failure of path planners and image-guided controllers, since the needles used in percutaneous procedures are too small for state-of-the-art imaging to accurately measure the tip angle. To compensate for the angle discrepancy, we develop a model for the rotational dynamics of a needle being continuously inserted into tissue and show how a PD controller is sufficient to compensate for the rotational dynamics.
Keywords :
PD control; biological tissues; biomedical imaging; friction; medical robotics; mobile robots; path planning; robot dynamics; torsion; PD controller; angle discrepancy compensation; bevel tip; image-guided controller; path planner; percutaneous procedure; robotically steered needle; rotational dynamics; tissue; torsional friction; Automatic control; Brachytherapy; Friction; Image resolution; Imaging phantoms; Needles; Robot control; Robotics and automation; Shafts; Ultrasonic imaging;
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2009.5152749