Il Hong Suh

Il Hong Suh

Hanyang University

H-index: 39

Asia-South Korea

About Il Hong Suh

Il Hong Suh, With an exceptional h-index of 39 and a recent h-index of 23 (since 2020), a distinguished researcher at Hanyang University, specializes in the field of artificial intelligence, robotics, cognition, control.

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

Design and implementation of security function according to routing method in automotive gateway

Goal-driven autonomous exploration through deep reinforcement learning

Primitive object grasping for finger motion synthesis

Acceleration of actor-critic deep reinforcement learning for visual grasping by state representation learning based on a preprocessed input image

Information-based heuristics for learned goal-driven exploration and mapping

Sim-to-real visual grasping via state representation learning based on combining pixel-level and feature-level domain adaptation

Learning-based automation of robotic assembly for smart manufacturing

Integration of top-down and bottom-up visual processing using a recurrent convolutional–deconvolutional neural network for semantic segmentation

Il Hong Suh Information

University

Position

Professor of computer science and engineering

Citations(all)

6966

Citations(since 2020)

2351

Cited By

5340

hIndex(all)

39

hIndex(since 2020)

23

i10Index(all)

130

i10Index(since 2020)

42

Email

University Profile Page

Hanyang University

Google Scholar

View Google Scholar Profile

Il Hong Suh Skills & Research Interests

artificial intelligence

robotics

cognition

control

Top articles of Il Hong Suh

Title

Journal

Author(s)

Publication Date

Design and implementation of security function according to routing method in automotive gateway

International journal of automotive technology

Jin Seo Park

Dae Hyun Kim

Il Hong Suh

2021/2

Goal-driven autonomous exploration through deep reinforcement learning

IEEE Robotics and Automation Letters

Reinis Cimurs

Il Hong Suh

Jin Han Lee

2021/12/10

Primitive object grasping for finger motion synthesis

Computer Graphics Forum

Jae‐Pyung Hwang

Gangrae Park

Il Hong Suh

Taesoo Kwon

2021/2

Acceleration of actor-critic deep reinforcement learning for visual grasping by state representation learning based on a preprocessed input image

Taewon Kim

Yeseong Park

Youngbin Park

Sang Hyoung Lee

Il Hong Suh

2021/9/27

Information-based heuristics for learned goal-driven exploration and mapping

Reinis Cimurs

Il Hong Suh

Jin Han Lee

2021/7/12

Sim-to-real visual grasping via state representation learning based on combining pixel-level and feature-level domain adaptation

Youngbin Park

Sang Hyoung Lee

Il Hong Suh

2021/5/30

Learning-based automation of robotic assembly for smart manufacturing

Proceedings of the IEEE

Sanghoon Ji

Sukhan Lee

Sujeong Yoo

Ilhong Suh

Inso Kwon

...

2021/3/23

Integration of top-down and bottom-up visual processing using a recurrent convolutional–deconvolutional neural network for semantic segmentation

Intelligent Service Robotics

Byung Wan Kim

Youngbin Park

Il Hong Suh

2020/1

Proxemics-based deep reinforcement learning for robot navigation in continuous action space

제어로봇시스템학회 논문지

Reinis CImurs

Il-Hong Suh

2020/3

Fusion drive: End-to-end multi modal sensor fusion for guided low-cost autonomous vehicle

Ikhyun Kang

Reinis Cimurs

Jin Han Lee

Il Hong Suh

2020/6/22

Goal-oriented obstacle avoidance with deep reinforcement learning in continuous action space

Electronics

Reinis Cimurs

Jin Han Lee

Il Hong Suh

2020/2/28

Progressive feature matching: Incremental graph construction and optimization

IEEE transactions on image processing

Sehyung Lee

Jongwoo Lim

Il Hong Suh

2020/5/27

Cleanir: Controllable attribute-preserving natural identity remover

Applied Sciences

Durkhyun Cho

Jin Han Lee

Il Hong Suh

2020/2/7

Time-optimized 3D path smoothing with kinematic constraints

International Journal of Control, Automation and Systems

Reinis Cimurs

Il Hong Suh

2020/5

Development of an actor-critic deep reinforcement learning platform for robotic grasping in real world

The Journal of Korea Robotics Society

Taewon Kim

Yeseong Park

Jong Bok Kim

Youngbin Park

Il Hong Suh

2020

Learning, improving, and generalizing motor skills for the peg-in-hole tasks based on imitation learning and self-learning

Applied Sciences

Nam Jun Cho

Sang Hyoung Lee

Jong Bok Kim

Il Hong Suh

2020/4/15

See List of Professors in Il Hong Suh University(Hanyang University)