Development of a Surface Sensing Tool for Normal Measurement for Robotic Machining Tasks

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The growing adoption of robot manipulators for complex machining operations, particularly polishing, highlights the need for advancements in maintaining consistent contact on diverse and unpredictable geometric surfaces. In response to this need, a compliant tool was designed to perform real-time depth and angle deviation measurements without relying on workpiece's pre-defined geometric model. The end-effector comes with the following three main parts: a three-axis force/torque sensor, a compliant contact pin, and a data acquisition (DAQ) board. To continuously evaluate depth and angles, an integrated pose correction algorithm uses estimated contact forces as feedback during robotic surface tracking. As a result, the optimal separation and perpendicular attachment between the end-effector and the surface under operation are established. The DAQ system, with its automatic weight compensation feature, facilitates real-time measurements, enhancing the end-effector precision. The proposed approach is of considerable promise in robotic machining operations to generate normal trajectories, as it ensures control adaptively and correctly in dynamic situations, which is essential for maintaining high-quality outcomes.

Original languageEnglish
Title of host publicationDigital Twinning for Discrete Manufacturing
PublisherCRC Press
Pages99-117
Number of pages19
ISBN (Electronic)9781040443330
ISBN (Print)9781041004332
DOIs
StatePublished - 1 Jan 2025

Bibliographical note

Publisher Copyright:
© 2026 selection and editorial matter, Haiyan Zhao, Ghulam Hussain, Ghulam Abbas, and Khalid Rahman; individual chapters, the contributors.

ASJC Scopus subject areas

  • General Engineering
  • General Energy
  • General Computer Science

Fingerprint

Dive into the research topics of 'Development of a Surface Sensing Tool for Normal Measurement for Robotic Machining Tasks'. Together they form a unique fingerprint.

Cite this