Error Modeling

Error Modeling is a mathematical framework that characterizes and quantifies the deviations between a robot's intended and actual kinematic or dynamic behavior by systematically representing the sources, structure, and propagation of errors within its operational environment.

639

Publications

51.4K

Citations

1.7K

Authors

593

Institutions

Publications per year

2017–2026

189

Authors

1.7K

  1. MB
    Mohsen Bahmani‐Óskooee

    University of Wisconsin–Milwaukee, United States

    10 publications · 400 citations

    10

    h-index

  2. FX
    Fugui Xie

    Tsinghua University, China

    7 publications · 210 citations

    7

    h-index

  3. XL
    Xin-Jun Liu

    Tsinghua University, China

    6 publications · 200 citations

    6

    h-index

  4. HW
    Haitong Wang

    Tsinghua University, China

    6 publications · 193 citations

    6

    h-index

  5. TL
    Tiemin Li

    Tsinghua University, China

    5 publications · 158 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. 27

    h-index

  2. Robotics and Computer-Integrated Manufacturing

    10 publications · 791 citations

    10

    h-index

  3. The International Journal of Robotics Research

    IJRR · 8 publications · 1.1K citations

    8

    h-index

  4. 8

    h-index

  5. Mechanism and Machine Theory

    7 publications · 299 citations

    7

    h-index

1–5