Kapil D. Katyal

Johns Hopkins University Applied Physics Laboratory, Johns Hopkins University, Amazon (United States)

Papers

22

Total Citations

805

H-Index

14

About

No biography available yet.

Research Focus

Artificial intelligence22 · 805 citations
Computer science22 · 805 citations
Robot18 · 631 citations
Engineering14 · 613 citations
Human–computer interaction11 · 497 citations
Brain–computer interface5 · 425 citations
Electroencephalography5 · 425 citations
Task (project management)7 · 387 citations
GRASP4 · 386 citations
Psychology6 · 376 citations
Computer vision7 · 367 citations
Interface (matter)5 · 353 citations

Key Achievements

14
H-Index
22
Papers
805
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic
190 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 102
🏛 Institutions: Johns Hopkins University Applied Physics Laboratory, Johns Hopkins University, Amazon (United States)

Top Papers

  1. 1
    Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic
    190 citations · 2014
  2. 2
    Simultaneous Neural Control of Simple Reaching and Grasping With the Modular Prosthetic Limb Using Intracranial EEG
    90 citations · 2013
  3. 3
    Collaborative Approach in the Development of High‐Performance Brain–Computer Interfaces for a Neuroprosthetic Arm: Translation from Animal Models to Human Control
    71 citations · 2013
  4. 4
    Approaches to robotic teleoperation in a disaster scenario: From supervised autonomy to direct control
    57 citations · 2014
  5. 5
    Autonomous Grasping Robotic Aerial System for Perching (AGRASP)
    57 citations · 2018
  6. 6
    Intent-Aware Pedestrian Prediction for Adaptive Crowd Navigation
    54 citations · 2020
  7. 7
    A collaborative BCI approach to autonomous control of a prosthetic limb system
    49 citations · 2014
  8. 8
    Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation
    48 citations · 2019
  9. 9
    Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks
    30 citations · 2017
  10. 10
    Revolutionizing Prosthetics software technology
    27 citations · 2011

Key Collaborators

MSMatthew S. Johannes8 shared papersKMKatie M. Popek6 shared papersMPMatthew P. Para6 shared papersGDGregory D. Hager5 shared papersCHChien‐Ming Huang4 shared papersIWI-Jeng Wang4 shared papersKWKevin Wolfe4 shared papersTGT. G. McGee4 shared papersBABrock A. Wester4 shared papersNENathan E. Crone3 shared papersCPChris Paxton3 shared papersPBPhilippe Burlina3 shared papersAHAndrew Harris3 shared papersMSMatthew S. Fifer3 shared papersRJR. Jacob Vogelstein3 shared papersGHGuy Hotson3 shared papersDPDavid P. McMullen3 shared papersJLJoseph L. Moore2 shared papersJMJ. Markowitz2 shared papersETEdward Tunstel2 shared papers
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