Multi-objective Motion Planning

Multi-Objective Motion Planning is a motion planning paradigm that simultaneously optimizes multiple, potentially conflicting objectives—such as path cost, execution time, and energy consumption—within a unified framework, distinguishing it from single-objective approaches by explicitly addressing trade-offs between competing performance criteria.

50

Publications

3.3K

Citations

170

Authors

93

Institutions

Publications per year

2017–2026

33

Authors

170

  1. MB
    Marek Balazinski

    Polytechnique Montréal, Canada

    2 publications · 68 citations

    2

    h-index

  2. FG
    Frederico Gadelha Guimarães

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 89 citations

    2

    h-index

  3. DR
    Dayal R. Parhi

    National Institute of Technology Rourkela, India

    2 publications · 47 citations

    2

    h-index

  4. SH
    Seth Hutchinson

    University of Illinois Urbana-Champaign, United States

    2 publications · 453 citations

    2

    h-index

  5. AK
    Amar Khoukhi

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    2 publications · 68 citations

    2

    h-index

1–5 of 170

Venues

  1. Ocean Engineering

    3 publications · 286 citations

    3

    h-index

  2. Applied Soft Computing

    2 publications · 326 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 42 citations

    2

    h-index

  4. IEEE Access

    2 publications · 31 citations

    2

    h-index

  5. Applied Intelligence

    2 publications · 70 citations

    2

    h-index

1–5