Skip to main content
Log in

Towards robotic assembly: collision detection between each part of the parallel groove clamp

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Robot hands grasp parallel groove clamps in assembly operations. The locations of parts during assembly are very important in grasping planning. Directly measuring the locations of all parts in the assembly process is tedious. A motion simulation is proposed to calculate the locations of parts in the assembly process. The boundary representation method describes the geometric information of the part. Assembly sequences simplify the movements of parts. Concave-arc surface collision detection is proposed to calculate the locations of irregular concave parts. The proposed method is found to be computationally less expensive than the collision detection method based on meshing. This research provides a foundation for further studies of robot hand manipulation in irregular assemblies.

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
Fig. 13

Similar content being viewed by others

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

References

  1. Nagarajan B, Li Y, Sun ZY, Qin RW (2019) A routing algorithm for inspecting grid transmission system using suspended robot: enhancing cost-effective and energy efficient infrastructure maintenance. J Clean Prod 219:622–638. https://doi.org/10.1016/j.jclepro.2019.02.088

    Article  Google Scholar 

  2. Nguyen VN, Jenssen R, Roverso D (2018) Automatic autonomous vision-based power line inspection: a review of current status and the potential role of deep learning. Int J Elec Power 99:107–120. https://doi.org/10.1016/j.ijepes.2017.12.016

    Article  Google Scholar 

  3. Qin LJ, Wang T, Yao C (2018) Research on application of location technology in 3D virtual environment modeling system for substation switch indicator. Intell Autom Soft Co 24:115–121. https://doi.org/10.1080/10798587.2016.1267250

    Article  Google Scholar 

  4. Tu JC, Qian XM, Lou PH (2017) Application research on AGV case: automated electricity meter verification shop floor. Ind Robot 44:491–500. https://doi.org/10.1108/IR-11-2016-0285

    Article  Google Scholar 

  5. Cohen J (1987) Live-line repair with Tomcat Epri J 5:14–19

    Google Scholar 

  6. Aracil R, Ferre M, Hernando M, Pinto E, Sebastian JM (2002) Telerobotic system for live-power line maintenance: ROBTET. Control Eng Pract 10:1271–1281. https://doi.org/10.1016/S0967-0661(02)00182-X

    Article  Google Scholar 

  7. Suarez-Ruiz F, Zhou X, Pham QC (2018) Can robots assemble an IKEA chair? Sci Robot 3:eaat6385. https://doi.org/10.1126/scirobotics.aat6385

  8. Liu CH, Chen TL, Chiu CH, Hsu MC, Chen Y, Pai TY, Peng WG, Chiang YP (2018) Optimal design of a soft robotic gripper for grasping unknown objects. Soft Robot 5:452–465. https://doi.org/10.1089/soro.2017.0121

    Article  Google Scholar 

  9. Babin V, St-Onge D, Gosselin C (2019) Stable and repeatable grasping of flat objects on hard surfaces using passive and epicyclic mechanisms. Robot Cim-Int Manuf 55:1–10. https://doi.org/10.1016/j.rcim.2018.06.002

    Article  Google Scholar 

  10. Van-Wyk K, Culleton M, Falco J, Kelly K (2018) Comparative peg-in-hole testing of a force-based manipulation controlled robotic hand. Ieee T Robot 34:542–549. https://doi.org/10.1109/TRO.2018.2791591

    Article  Google Scholar 

  11. Power-Lines E (2009) IEEE guide for maintenance methods on energized power-lines. Ieee Standard 516. https://doi.org/10.1109/IEEESTD.2009.5137335

  12. Dogar M, Spielberg A, Baker S, Rus D (2019) Multi-robot grasp planning for sequential assembly operations. Auton Robot 43:649–664. https://doi.org/10.1007/s10514-018-9748-z

    Article  Google Scholar 

  13. Murali GB, Deepak BBVL, Raju MVA, Biswal BB (2019) Optimal robotic assembly sequence planning using stability graph through stable assembly subset identification. Proc Inst Mech Eng C J Mech 233:5410–5430. https://doi.org/10.1177/0954406219842908

    Article  Google Scholar 

  14. Luo L, Mo J, Yang X (2018) A method of using image-view pairs to represent complex 3D objects. Cogent Eng 5:1–18. https://doi.org/10.1080/23311916.2018.1491264

    Article  Google Scholar 

  15. Choi AR, Kim SM, Sung MY (2017) Controlling the contact levels of details for fast and precise haptic collision detection. Front Inform Tech El 18:1117–1130. https://doi.org/10.1631/FITEE.1500498

    Article  Google Scholar 

  16. Wang TT, Tang M, Wang ZD, Tong RF (2018) Accurate self-collision detection using enhanced dual-cone method. Comput Graph-UK 73:70–79. https://doi.org/10.1016/j.cag.2018.04.001

    Article  Google Scholar 

  17. Caplan PC, Haimes R, Darmofal DL, Galbraith MC (2020) Four-dimensional anisotropic mesh adaptation. Comput Aided Des 129:102915. https://doi.org/10.1016/j.cad.2020.102915

    Article  MathSciNet  Google Scholar 

  18. Meng QX, Wang HL, Cai M, Xu WY, Zhuang XY, Rabczuk T (2020) Three-dimensional mesoscale computational modeling of soil-rock mixtures with concave particles. Eng Geol 277:105802. https://doi.org/10.1016/j.enggeo.2020.105802

    Article  Google Scholar 

  19. Adan DH, Cardos R (2020) Quasi-isotropic initial triangulation of NURBS surfaces. Eur J Comput Mech 29:27–82. https://doi.org/10.13052/ejcm2642-2085.2912

    Article  MathSciNet  Google Scholar 

  20. Lee SY (2015) Polyhedral mesh generation and a treatise on concave geometrical edges 124:174–186. https://doi.org/10.1016/j.proeng.2015.10.131

    Article  Google Scholar 

  21. Thomas F, Torras C (1994) Interference detection between non-convex polyhedra revisited with a practical aim. Proceedings of the 1994 IEEE International Conference on Robotics and Automation, pp 587–594. https://doi.org/10.1109/ROBOT.1994.351236

  22. Tu CH, Wang WP, Mourrain B, Wang JY (2009) Using signature sequences to classify intersection curves of two quadrics. Comput Aided Geom Des 26:317–335. https://doi.org/10.1016/j.cagd.2008.08.004

    Article  MathSciNet  MATH  Google Scholar 

  23. Brozos-Vázquez M, Pereira-Sáez MJ, Souto-Salorio MJ, Tarrío-Tobar AD (2019) Classification of the relative positions between a small ellipsoid and an elliptic paraboloid. Comput Aided Geom Des 72:34–48. https://doi.org/10.1016/j.cagd.2019.05.002

    Article  MathSciNet  MATH  Google Scholar 

  24. Brozos-Vázquez M, Pereira-Sáez MJ, Souto-Salorio MJ, Tarrío-Tobar AD (2018) Classification of the relative positions between a circular hyperboloid of one sheet and a sphere. Math Method Appl Sci 41:5274–5292. https://doi.org/10.1002/mma.5079

    Article  MathSciNet  MATH  Google Scholar 

  25. Jia XH, Tu CH, Mourrain B, Wang WP (2020) Complete classification and efficient determination of arrangements formed by two ellipsoids. Acm T Graphic 39:1–12. https://doi.org/10.1145/3388540

    Article  Google Scholar 

  26. Kwon S, Mun D, Kim BC, Han S, Suh HW (2019) B-rep model simplification using selective and iterative volume decomposition to obtain finer multi-resolution models. Comput Aided Des 112:23–34. https://doi.org/10.1016/j.cad.2019.03.003

    Article  Google Scholar 

  27. Weiler K (1985) Edge-based data structures for solid modeling in curved-surface environments. Ieee Comput Graph 5:21–40. https://doi.org/10.1109/MCG.1985.276271

    Article  Google Scholar 

  28. Meisters GH (1975) Polygons have ears. Am Math Mon 82:648–651. https://doi.org/10.1080/00029890.1975.11993898

    Article  MathSciNet  MATH  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (NSFC; grant number U1813216).

Author information

Authors and Affiliations

Authors

Contributions

Xin Shi was in charge of investigation, validation, resources, project administration, supervision, and funding acquisition. Li Tian was in charge of conceptualization, investigation, methodology, validation, and writing the original draft.

Corresponding author

Correspondence to Xin Shi.

Ethics declarations

Ethical approval

This work is in compliance with the ethical standards.

Consent to participate

No applicable.

Consent for publication

The manuscript has been approved for publication by all authors.

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, X., Tian, L. Towards robotic assembly: collision detection between each part of the parallel groove clamp. Int J Adv Manuf Technol 119, 4349–4358 (2022). https://doi.org/10.1007/s00170-021-08484-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-021-08484-3

Keywords

Navigation