Robust Torque-Computed Control for a Robot Manipulator With Unit Dual Quaternion

The six degrees-of-freedom (DoFs) nonsingular pose tracking is the prerequisite for the smooth task executions in many robot-assisted medical scenarios, such as laparoscopic surgery and sonography. This work develops a robust position/orientation tracking controller for a robot manipulator based on unit dual quaternion algebra. First, the dual quaternion-based robot manipulator dynamics are derived to accomplish the computationally minimalistic nonsingular end-effector motion representation. Then, an uncertainty and disturbance estimator-based controller is developed to estimate and compensate the system lumped uncertainty, which includes parameter uncertainty, external force/torque disturbance, and motor nonlinearity. The remote center of motion (RCM) constraints are formulated into the dual quaternion space to achieve the singularity free tool manipulation. The boundedness of the pose tracking error is analyzed via the Lyapunov function. Experiments of RCM operation with a seven DoFs Franka Emika robot manipulator are conducted for the performance validation, where the position root mean squared errors (RMSEs) are less than 0.002 m and the orientation RMSEs are less than 0.15°.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2025-04-01
DOI
https://doi.org/10.1109/tie.2025.3552269
Citations
4
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
4.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Torque-Computed Control for a Robot Manipulator With Unit Dual Quaternion

Xiangyun Li, Kang Li, Qi Lu, Z.-Z. Huang
4 citations
IEEE Transactions on Industrial Electronics
Robotic Mechanisms and Dynamics
4.86
article

Robust Torque-Computed Control for a Robot Manipulator With Unit Dual Quaternion

Xiangyun Li, Kang Li, Qi Lu, Z.-Z. Huang
article en
4 citations

Abstract

The six degrees-of-freedom (DoFs) nonsingular pose tracking is the prerequisite for the smooth task executions in many robot-assisted medical scenarios, such as laparoscopic surgery and sonography. This work develops a robust position/orientation tracking controller for a robot manipulator based on unit dual quaternion algebra. First, the dual quaternion-based robot manipulator dynamics are derived to accomplish the computationally minimalistic nonsingular end-effector motion representation. Then, an uncertainty and disturbance estimator-based controller is developed to estimate and compensate the system lumped uncertainty, which includes parameter uncertainty, external force/torque disturbance, and motor nonlinearity. The remote center of motion (RCM) constraints are formulated into the dual quaternion space to achieve the singularity free tool manipulation. The boundedness of the pose tracking error is analyzed via the Lyapunov function. Experiments of RCM operation with a seven DoFs Franka Emika robot manipulator are conducted for the performance validation, where the position root mean squared errors (RMSEs) are less than 0.002 m and the orientation RMSEs are less than 0.15°.

IEEE Transactions on Industrial ElectronicsVol. 72(10)
Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN)
Affordable and clean energy
Openalex Percentile: Top 5%
Robotic Mechanisms and Dynamics
4.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Robust Torque-Computed Control for a Robot Manipulator With Unit Dual Quaternion — Xiangyun Li, Kang Li, et al. · IEEE Transactions on Industrial Electronics (2025) | TGRS Research Map | TGRS