TY - JOUR
T1 - Design and Modeling of a Multi-DoF Magnetic Continuum Robot with Diverse Deformation Modes
AU - Huang, Yuanrui
AU - Zhao, Qingxiang
AU - Hu, Jian
AU - Liu, Hongbin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Magnetically-actuated continuum robots (MCRs) have the potential to be miniaturized to submillimeter sizes. However, their limited deformation modes hinder their ability to navigate through narrow and tortuous lumens. In this letter, we introduce a novel 2-degrees of freedom (DoF) MCR with diverse deformation modes. To validate the concept, a 20 mm-long MCR is fabricated. We also present an optimization algorithm to expand the MCR's workspace, relying on a deformation estimation algorithm that has been experimentally proven to have an error of less than 1.15 mm on the fabricated prototype. The optimized MCR exhibits a 40% larger workspace compared to conventional MCRs. Additionally, we integrate the 2-DoF MCR with mechanical devices and propose a Jacobian-based control scheme for them. Experimental results confirm its capability for tip trajectory tracking tasks with an RMS error of 0.71 mm and demonstrate its ability for obstacle avoidance. These innovations hold significant implications for the development of MCRs, paving the way toward more efficient interventional procedures.
AB - Magnetically-actuated continuum robots (MCRs) have the potential to be miniaturized to submillimeter sizes. However, their limited deformation modes hinder their ability to navigate through narrow and tortuous lumens. In this letter, we introduce a novel 2-degrees of freedom (DoF) MCR with diverse deformation modes. To validate the concept, a 20 mm-long MCR is fabricated. We also present an optimization algorithm to expand the MCR's workspace, relying on a deformation estimation algorithm that has been experimentally proven to have an error of less than 1.15 mm on the fabricated prototype. The optimized MCR exhibits a 40% larger workspace compared to conventional MCRs. Additionally, we integrate the 2-DoF MCR with mechanical devices and propose a Jacobian-based control scheme for them. Experimental results confirm its capability for tip trajectory tracking tasks with an RMS error of 0.71 mm and demonstrate its ability for obstacle avoidance. These innovations hold significant implications for the development of MCRs, paving the way toward more efficient interventional procedures.
KW - Modeling, control, and learning for soft robots
KW - surgical robotics: steerable catheters/needles
UR - http://www.scopus.com/inward/record.url?scp=85187391895&partnerID=8YFLogxK
U2 - 10.1109/LRA.2024.3374192
DO - 10.1109/LRA.2024.3374192
M3 - Article
AN - SCOPUS:85187391895
SN - 2377-3766
VL - 9
SP - 3956
EP - 3963
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 4
ER -