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This research presents a novel control law leveraging reaction torques to correct axial misalignment in robotic valve manipulation, offering a robust alternative to vision-based systems prone to occlusion and calibration errors. By exploiting the geometric relationship between error vectors and physical interaction forces, the study demonstrates uniform asymptotic stability through simulations and experimental validation on a Kinova Gen3 arm. The approach significantly reduces median misalignment across various test cases, advancing reliable robotic control in precision industrial applications.
Robotic Valve Turning: Axial Misalignment Correction Using Reaction Torque Feedback
arXiv:2609.24413v1 Announce Type: new Abstract: In this work, we propose a haptic update control law that uses reaction torques to correct axial misalignment during robotic valve manipulation. Unlike vision-based estimates, which can be affected by calibration errors, occlusion, and uncertainty in the contact geometry, reaction torques arise directly from the physical interaction between the gripper and valve. A geometric relationship exists between the error (misalignment) vector and these torques. The primary aim of this work is to propose a stable controller exploiting this geometric property. Our control law is proven to be uniformly asymptotically stable. Simulations are performed for verification. Furthermore, we experimentally test the robustness of our method using a Kinova Gen3 robotic arm for initial misalignments ranging from $-15^\circ$ to $15^\circ$ at 3 different valve positions and report the resulting data distribution. The absolute value of the median misalignment across all 18 test cases is found to be within $2.46^\circ$ and that of reaction torques within $0.23\mathrm{Nm}$.
Abstract:In this work, we propose a haptic update control law that uses reaction torques to correct axial misalignment during robotic valve manipulation. Unlike vision-based estimates, which can be affected by calibration errors, occlusion, and uncertainty in the contact geometry, reaction torques arise directly from the physical interaction between the gripper and valve. A geometric relationship exists between the error (misalignment) vector and these torques. The primary aim of this work is to propose a stable controller exploiting this geometric property. Our control law is proven to be uniformly asymptotically stable. Simulations are performed for verification. Furthermore, we experimentally test the robustness of our method using a Kinova Gen3 robotic arm for initial misalignments ranging from $-15^\circ$ to $15^\circ$ at 3 different valve positions and report the resulting data distribution. The absolute value of the median misalignment across all 18 test cases is found to be within $2.46^\circ$ and that of reaction torques within $0.23\mathrm{Nm}$.
7 pages, 7 figures. This work has been submitted to the IEEE for possible publication
Robotics (cs.RO)
arXiv:2609.24413 [cs.RO]
(or arXiv:2609.24413v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.24413 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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