Obstacle-aware Exploration

Obstacle-Aware Exploration is a robotic exploration strategy that systematically integrates real-time obstacle detection and avoidance to enable efficient, safe navigation in unknown, cluttered environments by prioritizing paths that maximize information gain while minimizing collision risk.

19

Publications

1.3K

Citations

65

Authors

28

Institutions

Publications per year

2017–2026

4

Authors

65

  1. DK
    David Kriegman

    University of California San Diego, United States

    2 publications · 120 citations

    2

    h-index

  2. XD
    Xiaotie Deng

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 291 citations

    2

    h-index

  3. LY
    Luke Yoder

    Carnegie Mellon University, United States

    1 publications · 68 citations

    1

    h-index

  4. AV
    Alberto Viseras Ruiz

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    1 publications · 19 citations

    1

    h-index

  5. TK
    Tomáš Krajník

    Czech Technical University in Prague, Czechia

    1 publications · 42 citations

    1

    h-index

1–5 of 65

Venues

  1. 1

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  2. AIAA Guidance, Navigation, and Control Conference and Exhibit

    Conference · 1 publications · 129 citations

    1

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 42 citations

    1

    h-index

  4. Proceedings of the IEEE

    1 publications · 307 citations

    1

    h-index

  5. Journal of Field Robotics

    JFR · 1 publications · 68 citations

    1

    h-index

1–5