Kapil D. Katyal

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Johns Hopkins University Applied Physics Lab

Research and Exploratory Development Department

201-412A

11100 Johns Hopkins Road

Laurel, MD 20723

I am a principal research scientist at Johns Hopkins University Applied Physics Lab and an assistant research professor in the computer science department at Johns Hopkins University.

My research lies in the intersection of robotics, perception and machine learning. In particular, I am interested in complex terrain navigation, high speed navigation, navigation in pedestrian-rich environments, activity recognition and manipulation in clutter.

I can be contacted at kkatyal2@jhu.edu.

selected publications

  1. Uncertainty-aware occupancy map prediction using generative networks for robot navigation
    Kapil Katyal, Katie Popek, Chris Paxton, and 2 more authors
    In 2019 International Conference on Robotics and Automation (ICRA) 2019
  2. Intent-aware pedestrian prediction for adaptive crowd navigation
    Kapil D Katyal, Gregory D Hager, and Chien-Ming Huang
    In 2020 IEEE International Conference on Robotics and Automation (ICRA) 2020
  3. High-speed robot navigation using predicted occupancy maps
    Kapil D Katyal, Adam Polevoy, Joseph Moore, and 2 more authors
    In 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021
  4. Out-of-Distribution Robustness with Deep Recursive Filters
    Kapil D Katyal, I-Jeng Wang, and Gregory D Hager
    In 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021
  5. Complex Terrain Navigation via Model Error Prediction
    Adam Polevoy, Craig Knuth, Katie M Popek, and 1 more author
    In 2022 International Conference on Robotics and Automation (ICRA) 2022