Papers
17
Total Citations
764
H-Index
10
About
Na Lv is a prominent researcher specializing in intelligent welding technologies, robotic automation, and advanced sensing systems for arc welding processes. Working primarily within the robotics and manufacturing engineering domain, Lv has made significant contributions to the intelligentization of welding through the integration of computer vision, audio sensing, and composite sensor technologies. Among Lv's most impactful contributions is pioneering work on computer vision-based seam tracking for robotic GTAW and GMAW processes, which has accumulated over 137 citations, and a comprehensive review of intelligentized arc welding technologies that has garnered 153 citations — establishing Lv as a key voice in the field's evolution. Particularly innovative is Lv's research into audio-based sensing for real-time welding penetration control, demonstrating that arc sound signals can reliably classify weld quality states using sophisticated techniques such as wavelet analysis and Hidden Markov Models — work cited nearly 120 times. Affiliated with Shanghai Jiao Tong University, Lv has consistently pushed the boundaries of robotic welding automation, developing dual-microphone arrays and multi-sensor fusion systems to enhance precision and reliability. With a cumulative citation count exceeding 700 across a focused body of work, Na Lv represents a defining voice in the advancement of intelligent, sensor-driven welding robotics.
Research Focus
Key Achievements
Top Papers
- 1Research evolution on intelligentized technologies for arc welding process153 citations · 2013
- 2Computer vision technology for seam tracking in robotic GTAW and GMAW137 citations · 2014
- 3Automated control of welding penetration based on audio sensing technology120 citations · 2017
- 4Welding seam tracking in robotic gas metal arc welding96 citations · 2017
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- 9Research on the key technology of vision sensor in robotic welding13 citations · 2016
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