Tool pose measurement using shadow imaging sensors

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:The International Journal of Advanced Manufacturing Technology vol. 136, no. 2 (Jan 2025), p. 761
יצא לאור:
Springer Nature B.V.
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גישה מקוונת:Citation/Abstract
Full Text - PDF
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MARC

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022 |a 0268-3768 
022 |a 1433-3015 
024 7 |a 10.1007/s00170-024-14880-2  |2 doi 
035 |a 3151022005 
045 2 |b d20250101  |b d20250131 
245 1 |a Tool pose measurement using shadow imaging sensors 
260 |b Springer Nature B.V.  |c Jan 2025 
513 |a Journal Article 
520 3 |a Due to the high positioning uncertainty and low stiffness of robots, significant geometrical deviations occur in robotic incremental sheet forming (ISF) which requires an optical in-process tool pose measurement. To achieve a measuring uncertainty of less than 50&#xa0;μ<inline-graphic specific-use="web" mime-subtype="GIF" xlink:href="170_2024_14880_Article_IEq1.gif" />m for the position components and less than 0.05∘<inline-graphic specific-use="web" mime-subtype="GIF" xlink:href="170_2024_14880_Article_IEq2.gif" /> for the orientation components in the machining volume, a multi-sensor system based on shadow imaging sensors is proposed. To calculate the six-degree-of-freedom tool pose, the sensor system measures the positions of three LEDs attached to the tool. The LEDs emit light with different colors, and the associated shadows are separately detected by using color filters. In addition, each sensor consists of a shadow-casting mask and a monochrome camera. Experimental results show that the systematic error dominates the measurement uncertainty budget and needs to be calibrated, while the random error is one order of magnitude smaller than the required measuring uncertainty. Furthermore, the color filters reduce the cross-sensitivities between the signals to an acceptable level. Final experiments on a robot demonstrate plausible pose measurements indicating the feasibility to apply the multi-sensor system in robotic ISF. 
653 |a Position measurement 
653 |a Systematic errors 
653 |a Random errors 
653 |a Color sensitivity 
653 |a Robots 
653 |a Error analysis 
653 |a Sensors 
653 |a Forming techniques 
653 |a Shadows 
653 |a Uncertainty 
653 |a Machining 
653 |a Advanced manufacturing technologies 
773 0 |t The International Journal of Advanced Manufacturing Technology  |g vol. 136, no. 2 (Jan 2025), p. 761 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3151022005/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3151022005/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch