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Cited by 51Robot Manipulation and LearningTeleoperation and Haptic SystemsIndustrial Automation and Control Systems

Haptic-based touch detection for collaborative robots in welding applications

Open access
Tannous, Michael, Miraglia, Marco, Inglese, Francesco, Giorgini, Luca, Ricciardi, Filippo, Pelliccia, Riccardo, Milazzo, Mario, Stefanini, Cesare·2020·Robotics and Computer-Integrated Manufacturing
DOI 10.1016/j.rcim.2020.101952
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Integrity signals

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Crossref · 10.1016/j.rcim.2020.101952

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  • The contamination level of the dataset influences the performance of the algorithm.

    “Results confirmed the influence of the contamination level related to the dataset.”

    From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [24]

  • The 3-Sigma rule achieved better performance than the Hampel identifier in precision percentage (mean 99.9%) and miss rate (mean 10%).

    “Experimental results showed better performance of the 3-Sigma rule in terms of precision percentage (mean value of 99.9%) and miss rate (mean value of 10%) concerning the Hampel identifier.”

    From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [24]

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Authors
Tannous, M., Miraglia, M., Inglese, F., Giorgini, L., Ricciardi, F., Pelliccia, R., Milazzo, M., & Stefanini, C.
Affiliations
Scuola Superiore Sant'Anna (IT)
Corresponding author
Tannous, Michael
ORCID
Venue
Robotics and Computer-Integrated Manufacturing
Publisher
Elsevier BV
Published
2020-08
Volume
64
Pages
101952
ISSN
0736-5845 (ISSN-L)
DOI
10.1016/j.rcim.2020.101952
OpenAlex
W3005870763
Cited by
51
References
1
Citations by year
2026: 4 · 2025: 9 · 2024: 10 · 2023: 8 · 2022: 6 · 2021: 9 · 2020: 5
FWCI
3.36
Type
journal article
Language
en
Open access
Licence
Locations
  • Robotics and Computer-Integrated Manufacturing (publishedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by-nc-nd)
  • CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion)
Funders
Tuscany Region
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
Keywords
haptic sensing, tactile sensing, collaborative robots, welding, human-robot interaction, outlier detection, real-time detection, sensor contamination, Industry 4.0

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