Vision-based manipulation of transparent plastic bags in industrial setups
The results indicate that the proposed solution is highly effective for industrial applications requiring precision and adaptability, aligning with the principles of Industry 4.0. By combining advanced vision algorithms, depth sensing, and compliance control, the system offers a robust method for automating challenging tasks. The integration of cobots into such workflows demonstrates significant potential for enhancing efficiency, safety, and sustainability in industrial settings.
Authors
- R.A. Yadav (ORCID: https://orcid.org/0000-0002-3790-9133)
- A. C. Partridge
- Pratik Samant (ORCID: https://orcid.org/0000-0002-9550-3502)
- Yvan Pétillot (ORCID: https://orcid.org/0000-0002-1596-289X)
- Maria Koskinopoulou (ORCID: https://orcid.org/0000-0002-8040-2995)
- Ushma D. Upadhyay (ORCID: https://orcid.org/0000-0002-2731-2157)
- Emily G. Pendleton (ORCID: https://orcid.org/0000-0002-2487-1009)
- Finny S. Varghese
- S. Shabana
- Abhiram Karukayil
- Favour O. Adetunji
- Richard E. Plant (ORCID: https://orcid.org/0000-0002-2121-2673)
Institutions
- Heriot-Watt University (GB)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3389/frobt.2025.1506290
- Citations
- 4
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 4.97