Abstract | ||
---|---|---|
•A new haptic-based touch detection algorithm was proposed to detect collisions.•We have designed a special system architecture and it has worked very well.•We made tests in a real GTAW welding scenario solving touch detection issues.•Comparison between hampel and 3-Sigma approaches were done to improve precision.•This paper systematically designed an online algorithm for real-time applications. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.rcim.2020.101952 | Robotics and Computer-Integrated Manufacturing |
Keywords | DocType | Volume |
Industry 4.0,Human-robot interaction,Collaborative robots,Haptic interface,Machine learning,Welding applications,Smart manufacturing | Journal | 64 |
ISSN | Citations | PageRank |
0736-5845 | 0 | 0.34 |
References | Authors | |
0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Tannous | 1 | 0 | 0.34 |
Marco Miraglia | 2 | 0 | 0.34 |
Francesco Inglese | 3 | 0 | 0.34 |
Luca Giorgini | 4 | 0 | 0.34 |
Filippo Ricciardi | 5 | 0 | 0.34 |
Riccardo Pelliccia | 6 | 10 | 1.63 |
Mario Milazzo | 7 | 0 | 0.34 |
Cesare Stefanini | 8 | 188 | 45.66 |