Robotic Snap-fit Assembly with Success Identification Based on Force Feedback-Reference-Cited by-同舟云学术

Robotic Snap-fit Assembly with Success Identification Based on Force Feedback

Published:2022 Issue: Volume: Page:145-157
ISSN:0302-9743
Container-title:Modelling and Simulation for Autonomous Systems
language:
Short-container-title:

Author:

Radil Filip^ORCID,Adámek Roman^ORCID,Dobossy Barnabás^ORCID,Krejčí Petr^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98260-7_9

Reference20 articles.

1. Ifr presents world robotics report 2020 (2020). https://ifr.org/ifr-press-releases/news/record-2.7-million-robots-work-in-factories-around-the-globe

2. Chan, Y., Yu, H., Khurshid, R.P.: Effects of force-torque and tactile haptic modalities on classifying the success of robot manipulation tasks. In: 2019 IEEE World Haptics Conference (WHC), pp. 586–591 (2019). https://doi.org/10.1109/WHC.2019.8816131

3. Di Lello, E., Klotzbücher, M., De Laet, T., Bruyninckx, H.: Bayesian time-series models for continuous fault detection and recognition in industrial robotic tasks. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5827–5833 (2013). https://doi.org/10.1109/IROS.2013.6697200

4. Doltsinis, S., Krestenitis, M., Doulgeri, Z.: A machine learning framework for real-time identification of successful snap-fit assemblies. IEEE Trans. Autom. Sci. Eng. 1–11 (2019). https://doi.org/10.1109/TASE.2019.2932834

5. Genc, S., Messler, Robert W., J., Gabriele, G.A.: A hierarchical classification scheme to define and order the design space for integral snap-fit assembly. Res. Eng. Design 10(2), 94–106 (1998). https://www.proquest.com/scholarly-journals/hierarchical-classification-scheme-define-order/docview/2262571747/se-2?accountid=17115. copyright - Research in Engineering Design is a copyright of Springer, (1998). All Rights Reserved. Accessed 24 July 2019