Active Perception

Active Perception is a paradigm of robotic perception in which a sensing system deliberately controls its sensor configuration and exploratory actions based on internal goals or hypotheses in order to selectively acquire and refine task-relevant information about the environment.

205

Publications

12.4K

Citations

557

Authors

234

Institutions

Publications per year

2017–2026

61

Authors

557

  1. NF
    Nathan F. Lepora

    Bristol Robotics Laboratory, United Kingdom

    8 publications · 384 citations

    8

    h-index

  2. RB
    Růžena Bajcsy

    University of California, Berkeley, United States

    5 publications · 1.4K citations

    5

    h-index

  3. UM
    Uriel Martínez-Hernández

    University of Bath, United Kingdom

    5 publications · 235 citations

    5

    h-index

  4. TJ
    Tony J. Prescott

    University of Sheffield, United Kingdom

    5 publications · 235 citations

    5

    h-index

  5. RF
    Robert Fitch

    United States Air Force Research Laboratory, United States

    4 publications · 295 citations

    4

    h-index

1–5 of 557

Venues

  1. IEEE Robotics and Automation Letters

    7 publications · 258 citations

    7

    h-index

  2. Robotics and Autonomous Systems

    6 publications · 160 citations

    6

    h-index

  3. International Journal of Computer Vision

    5 publications · 467 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 269 citations

    5

    h-index

  5. Autonomous Robots

    4 publications · 410 citations

    4

    h-index

1–5