Skip to main content
Log in

Precision evaluation of tactile sensor fabrication using a robotic additive manufacturing platform

  • Research
  • Published:
Journal of Micro and Bio Robotics Aims and scope Submit manuscript

Abstract

This paper presents the NeXus, a precision robotic platform with additive manufacturing capabilities that can be used to prototype strain gauge-based tactile sensors – SkinCells - on flexible substrates. An Aerosol Inkjet printer was employed to print the strain gauge structures of the SkinCell sensor. The design of this sensor combines curvilinear geometries representing both a radial shape structure and an arc shape structure, which have opposite gauge responses when the force is applied to the center of the sensor. The fabrication process of the SkinCell sensor is predicated on a parametric kinematic calibration of the NeXus to identify features on the sensor substrate and align them to the printing and metrology tools. Several strain gauge SkinCell sensor samples were printed on pre-fabricated flexible substrates using the NeXus. Results indicate a calibration precision of approximately 36 microns with 100 microns line-width features. This precision is sufficient to ensure that all printed gauges are electrically connected to the prefabricated contacts. Furthermore, the printing errors accumulating during a continuous four-sensor array print also fall within the contact tolerance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

Not applicable.

References

  1. Giannatsis J, Dedoussis V (2009) Additive fabrication technologies applied to medicine and health care: a review. Int J Adv Manuf Technol 40(1):116–127

    Article  Google Scholar 

  2. Song Y, Yan Y, Zhang R, Xu D, Wang F (2002) Manufacture of the die of an automobile deck part based on rapid prototyping and rapid tooling technology. J Mater Process Technol 120:1–3

    Article  ADS  Google Scholar 

  3. Thomas CL, Gaffney TM, Kaza S, Lee CH (1996) Rapid prototyping of large scale aerospace structures. In: 1996 IEEE Aerospace Applications Conference. Proceedings, vol. 4, IEEE, pp 219–230

  4. Sun C, Wang Y, McMurtrey MD, Jerred ND, Liou F, Li J (2021) Additive manufacturing for energy: a review. Appl Energy 282:116041

    Article  Google Scholar 

  5. Mohajeri B, Poesche J, Kauranen I, Nyberg T (2016) Shift to social manufacturing: Applications of additive manufacturing for consumer products. In: 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), IEEE, pp 1–6

  6. Wei D et al (2022) Automated fabrication of tactile sensors using a custom additive manufacturing platform. In: 2022 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS). IEEE, pp 1–6

  7. Sitotaw DB, Ahrendt D, Kyosev Y, Kabish AK (2020) Additive manufacturing and textiles—state-of-the-art. Appl Sci 10(15):5033

    Article  CAS  Google Scholar 

  8. Kumar A (2018) Methods and materials for smart manufacturing: additive manufacturing, internet of things, flexible sensors and soft robotics. Manuf Lett 15:122–125

    Article  Google Scholar 

  9. Stano G, Percoco G (2021) Additive manufacturing aimed to soft robots fabrication: a review. Extreme Mech Lett 42:101079

    Article  Google Scholar 

  10. Murthy R, Das AN, Popa D, Stephanou H (2007) M3: Multiscale, deterministic and reconfigurable macro-micro assembly system for packaging of mems. In: Proceedings 2007 IEEE International Conference on Robotics and Automation, IEEE, pp 668–673

  11. Popa DO, Murthy R, Das AN (2009) M3-Deterministic, Multiscale, Multirobot platform for Microsystems Packaging: Design and Quasi-static Precision evaluation. IEEE Trans Autom Sci Eng 6(2):345–361

    Article  Google Scholar 

  12. Popa D, Murthy R, Mittal M, Sin J, Stephanou H (2006) M3-modular multi-scale assembly system for MEMS packaging. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, pp 3712–3717

  13. Das AN, Zhang P, Lee WH, Popa D, Stephanou H (2007) µ 3: Multiscale, deterministic micro-nano assembly system for construction of on-wafer microrobots. In: Proceedings 2007 IEEE International Conference on Robotics and Automation, IEEE, pp 461–466

  14. Nothnagle C, Baptist JR, Sanford J, Lee WH, Popa DO, Wijesundara MB (2015) EHD printing of PEDOT: PSS inks for fabricating pressure and strain sensor arrays on flexible substrates. Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: theory and applications IX, vol 9494. International Society for Optics and Photonics, p 949403.

    Google Scholar 

  15. Baptist J, Zhang R, Wei D, Saadatzi M, Popa D (2017) Fabrication of strain gauge sensor arrays for tactile skins. In: Smart Biomedical and Physiological Sensor Technology XIV, vol 10216, SPIE, p 107–116

  16. Wei D, Zhang R, Saadatzi MN, Olowo OO, Popa DO (2020) Organic piezoresistive pressure sensitive robotic skin for physical human-robot interaction. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 83907. American Society of Mechanical Engineers, p V001T01A013

  17. Olowo OO, Zhang R, Yang Z, Goulet B, Popa DO (2021) Organic Piezoresistive Robotic Skin Sensor Fabrication, Integration and Characterization. In: International Manufacturing Science and Engineering Conference, vol. 85079. American Society of Mechanical Engineers, p V002T08A013

  18. Saadatzi MN, Yang Z, Baptist JR, Sahasrabuddhe RR, Wijayasinghe IB, Popa DO (2017) Parametric investigation of scalable tactile sensors. In: Smart Biomedical and Physiological Sensor Technology XIV, vol 10216, SPIE, pp 51–60

  19. Wei D et al (2021) Precision evaluation of nexus, a custom multi-robot system for microsystem integration. In: International Manufacturing Science and Engineering Conference, vol. 85079. American Society of Mechanical Engineers, p V002T07A008

  20. Wei D, Trombley CM, Sherehiy A, Popa DO (2021) Precise and effective robotic tool change strategy using visual servoing With RGB-D Camera. in: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 85451, American Society of Mechanical Engineers, p. V08BT08A028

  21. Ratnayake D, Curry A, Walsh K (2021) Demonstrating a new ink material for aerosol printing conductive traces and custom strain gauges on flexible surfaces. In: 2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), IEEE, pp 1–4

  22. Ratnayake D, Curry A, Qu C, Wei D, Gerber E, Walsh K (2023) Optimizing the conductivity of a new nano-particle silver ink for aerosol jet printing and demonstrating its use as a strain gauge. In: IEEE J Flex Electron, vol 2, pp 248–255

  23. V. Micro-Measurements (2010) Strain gage thermal output and gage factor variation with temperature. Strain Gauges and Instruments, Vishay Micro-Measurements, Tech Note: TN-504-1, Document Number: 11054

  24. Yao S, Zhu Y (2014) Wearable multifunctional sensors using printed stretchable conductors made of silver nanowires. Nanoscale 6(4):2345–2352

    Article  CAS  PubMed  ADS  Google Scholar 

  25. Liu M, Zhao Y, Shao Y, Zhang Q, Liu C (2018) 3D printed force sensor with inkjet printed piezoresistive based strain gauge. In: 2018 IEEE SENSORS, IEEE, pp 1–4

  26. Siddique S, Park JG, Andrei P, Liang R (2019) M3D aerosol jet printed buckypaper multifunctional sensors for composite structural health monitoring. Results Phys 13:102094

    Article  Google Scholar 

  27. Bose AK et al (2020) Screen-printed strain gauge for micro-strain detection applications. IEEE Sens J 20(21):12652–12660

    Article  CAS  ADS  Google Scholar 

  28. Saadatzi MH, Popa DO (2020) Kinematic Analysis of a 5-DOF Positioner for Precision Additive Manufacturing. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 83990. American Society of Mechanical Engineers, p V010T10A096

  29. Ratnayake D, Curry AT, Qu C, Usher J, Walsh K (2021) Characterizing the conductivity of aerosol jet printed silver features on glass. In: International Manufacturing Science and Engineering Conference, vol. 85079, American Society of Mechanical Engineers, p. V002T08A007

Download references

Acknowledgment

This work was supported by National Science Foundation awards MRI #1828355 and EPSCOR #1849213, and GDAS’ Project of Science and Technology Development #2022GDASZH-2022010111. We would like to thank Jordan Dowdy, Brian Goulet, and Douglas Jackson for their help with the hardware setup and experiments.

Funding

National Science Foundation awards MRI #1828355 and EPSCOR #1849213, and GDAS’ Project of Science and Technology Development #2022GDASZH-2022010111.

Author information

Authors and Affiliations

Authors

Contributions

Danming Wei worked on the design, implementation, and calibration of the NeXus platform and the design and fabrication of the tactile sensor, and wrote the main manuscript text; Ruoshi Zhang and Ji-Tzuoh Lin worked on the design and simulation of the tactile sensor; Dilan Ratnayake and Olalekan O. Olowo worked on the characterization of the Aerosol Jetting printer with the silver ink for printing sensor structures; Andrew S. Nimon, Moath Alqatamin, and Andriy Sherehiy worked on the development of hardware and software of the NeXus platform; Dan Popa was overall principal investigator for this study; he contributed the calibration methods based on LRM principles, results analysis, and edits to the text; All authors reviewed the manuscript.

Corresponding author

Correspondence to Danming Wei.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wei, D., Zhang, R., Lin, JT. et al. Precision evaluation of tactile sensor fabrication using a robotic additive manufacturing platform. J Micro-Bio Robot 20, 1 (2024). https://doi.org/10.1007/s12213-024-00166-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12213-024-00166-z

Keywords

Navigation