Maximum Allowable TCF Calibration Error for Robotic Pose Servoing

Robotic pose servoing aims to move the robot end-effector to the target pose. Closed-loop servo systems can tolerate a small TCF (tool control frame) calibration error and accurately reach the target pose through multiple pose measurements and pose adjustments. However, the maximum allowable TCF cal...

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Published in:IEEE robotics and automation letters Vol. 10; no. 2; pp. 1744 - 1751
Main Authors: Hou, Jun, Xing, Shiyu, Ma, Yunkai, Jing, Fengshui, Tan, Min
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.02.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accuracy
Assembly
Calibration
calibration and identification
Closed loops
End effectors
Error analysis
Formal methods in robotics and automation
Measurement uncertainty
Permissible error
Robot kinematics
Robotics
Robots
Robustness
Scaling factors
Servocontrol
Servomotors
Stars
Visualization
Workspace
ISSN:2377-3766, 2377-3766
Online Access:Get full text
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Abstract Robotic pose servoing aims to move the robot end-effector to the target pose. Closed-loop servo systems can tolerate a small TCF (tool control frame) calibration error and accurately reach the target pose through multiple pose measurements and pose adjustments. However, the maximum allowable TCF calibration error remains an open question. This paper demonstrates that the necessary condition for robotic pose servoing is a TCF calibration error angle of less than 60 degrees, with no limit on the translational component of the TCF calibration error. Next, an improved pose servoing method is proposed to address the conflict between the large TCF error and the limited robot workspace. This method introduces a scaling factor to limit the adjustment range within the robot workspace, ensuring greater robustness. Finally, robot-assisted cabin docking is selected as an experimental validation case. Simulation and physical experiments validate the maximum allowable TCF calibration error. Comparative experiments confirm the robustness of the improved pose servoing method, achieving cabin docking despite significant TCF calibration errors.
AbstractList Robotic pose servoing aims to move the robot end-effector to the target pose. Closed-loop servo systems can tolerate a small TCF (tool control frame) calibration error and accurately reach the target pose through multiple pose measurements and pose adjustments. However, the maximum allowable TCF calibration error remains an open question. This paper demonstrates that the necessary condition for robotic pose servoing is a TCF calibration error angle of less than 60 degrees, with no limit on the translational component of the TCF calibration error. Next, an improved pose servoing method is proposed to address the conflict between the large TCF error and the limited robot workspace. This method introduces a scaling factor to limit the adjustment range within the robot workspace, ensuring greater robustness. Finally, robot-assisted cabin docking is selected as an experimental validation case. Simulation and physical experiments validate the maximum allowable TCF calibration error. Comparative experiments confirm the robustness of the improved pose servoing method, achieving cabin docking despite significant TCF calibration errors.
Author Hou, Jun
Ma, Yunkai
Jing, Fengshui
Tan, Min
Xing, Shiyu
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Snippet Robotic pose servoing aims to move the robot end-effector to the target pose. Closed-loop servo systems can tolerate a small TCF (tool control frame)...
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SubjectTerms Accuracy
Assembly
Calibration
calibration and identification
Closed loops
End effectors
Error analysis
Formal methods in robotics and automation
Measurement uncertainty
Permissible error
Robot kinematics
Robotics
Robots
Robustness
Scaling factors
Servocontrol
Servomotors
Stars
Visualization
Workspace
Title Maximum Allowable TCF Calibration Error for Robotic Pose Servoing
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