Kapil Katyal

Kapil Katyal

Johns Hopkins University

H-index: 19

North America-United States

About Kapil Katyal

Kapil Katyal, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of robotics, autonomy, manipulation, grasping, computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scaling object-centric robotic manipulation with multimodal object identification

GeoDiffuser: Geometry-Based Image Editing with Diffusion Models

Leveraging synthetic data for robust gesture recognition

A Safety Fallback Controller for Improved Collision Avoidance

Synthetic-to-real domain adaptation for action recognition: A dataset and baseline performances

Complex terrain navigation via model error prediction

Learning a group-aware policy for robot navigation

Learning generalizable behaviors from demonstration

Kapil Katyal Information

University

Position

Senior Professional Staff Member Applied Physics Lab

Citations(all)

1486

Citations(since 2020)

966

Cited By

934

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

23

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Kapil Katyal Skills & Research Interests

robotics

autonomy

manipulation

grasping

computer vision

Top articles of Kapil Katyal

Title

Journal

Author(s)

Publication Date

Scaling object-centric robotic manipulation with multimodal object identification

Chaitanya Mitash

Mostafa Hussein

Jeroen Vanbaar

Vikedo Terhuja

Kapil Katyal

2024

GeoDiffuser: Geometry-Based Image Editing with Diffusion Models

arXiv preprint arXiv:2404.14403

Rahul Sajnani

Jeroen Vanbaar

Jie Min

Kapil Katyal

Srinath Sridhar

2024/4/22

Leveraging synthetic data for robust gesture recognition

Kapil Katyal

Rama Chellappa

Ketul Shah

Arun Reddy

Judy Hoffman

...

2023/6/13

A Safety Fallback Controller for Improved Collision Avoidance

Daniel Genin

Elizabeth Dietrich

Yanni Kouskoulas

Aurora Schmidt

Marin Kobilarov

...

2023/6/6

Synthetic-to-real domain adaptation for action recognition: A dataset and baseline performances

Arun V Reddy

Ketul Shah

William Paul

Rohita Mocharla

Judy Hoffman

...

2023/5/29

Complex terrain navigation via model error prediction

Adam Polevoy

Craig Knuth

Katie M Popek

Kapil D Katyal

2022/5/23

Learning a group-aware policy for robot navigation

Kapil Katyal

Yuxiang Gao

Jared Markowitz

Sara Pohland

Corban Rivera

...

2022/10/23

Learning generalizable behaviors from demonstration

Frontiers in Neurorobotics

Corban Rivera

Katie M Popek

Chace Ashcraft

Edward W Staley

Kapil D Katyal

...

2022/10/3

High-speed robot navigation using predicted occupancy maps

Kapil D Katyal

Adam Polevoy

Joseph Moore

Craig Knuth

Katie M Popek

2021/5/30

The JHU/APL AI technology roadmap: research and exploratory development on the path to intelligent systems for every mission

Michael Wolmetz

Kapil Katyal

Christopher Ratto

Bart Paulhamus

I-Jeng Wang

...

2021/4/12

Meta arcade: A configurable environment suite for deep reinforcement learning and meta-learning

Edward W Staley

Chace Ashcraft

Benjamin Stoler

Jared Markowitz

Gautam Vallabha

...

2021/12/13

Integrating Perception, Prediction and Control for Adaptive Mobile Navigation

Kapil D Katyal

2021/3/29

Meta arcade: A configurable environment suite for meta-learning

arXiv preprint arXiv:2112.00583

Edward W Staley

Chace Ashcraft

Benjamin Stoler

Jared Markowitz

Gautam Vallabha

...

2021/12/1

Robust Policy Search for an Agile Ground Vehicle Under Perception Uncertainty

Shahriar Sefati

Subhransu Mishra

Matthew Sheckells

Kapil D Katyal

Jin Bai

...

2021/9/27

Out-of-Distribution Robustness with Deep Recursive Filters

Kapil D Katyal

I-Jeng Wang

Gregory D Hager

2021/5/30

Intent-aware pedestrian prediction for adaptive crowd navigation

Kapil D Katyal

Gregory D Hager

Chien-Ming Huang

2020/5/31

Design and preliminary evaluation of an augmented reality interface control system for a robotic arm

Johns Hopkins APL Tech. Dig

David P McMullen

Matthew S Fifer

Kapil D Katyal

Robert Armiger

Guy Hotson

...

2020

Prediction-based uncertainty estimation for adaptive crowd navigation

Kapil D Katyal

Katie Popek

Gregory D Hager

I-Jeng Wang

Chien-Ming Huang

2020

The modular prosthetic limb

Matthew S Johannes

Eric L Faulring

Kapil D Katyal

Matthew P Para

John B Helder

...

2020/1/1

Object recognition and presentation for the visually impaired

2020/11/24

See List of Professors in Kapil Katyal University(Johns Hopkins University)