Joint Tracking

Joint Tracking is a robotic perception methodology within welding automation that integrates multisensory data to dynamically identify and follow the spatial position and geometry of a weld joint in real time during the welding process.

167

Publications

6.5K

Citations

484

Authors

218

Institutions

Publications per year

2017–2026

54

Authors

484

  1. JL
    Jian Lan

    Xi'an Jiaotong University, China

    5 publications · 99 citations

    5

    h-index

  2. SM
    Simon Maskell

    Qinetiq (United Kingdom), United Kingdom

    4 publications · 156 citations

    4

    h-index

  3. XR
    X. Rong Li

    University of New Orleans, United States

    4 publications · 85 citations

    4

    h-index

  4. JA
    Joseph A. O’Sullivan

    Washington University in St. Louis, United States

    3 publications · 292 citations

    3

    h-index

  5. HS
    Hyo‐Sang Shin

    Cranfield University, United Kingdom

    3 publications · 117 citations

    3

    h-index

1–5 of 484

Venues

  1. 9

    h-index

  2. 9

    h-index

  3. Sensors

    6 publications · 185 citations

    6

    h-index

  4. Welding Journal

    5 publications · 161 citations

    5

    h-index

  5. IEEE Access

    3 publications · 83 citations

    3

    h-index

1–5