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Inha-United

Welcome!

We are Inha-United ⚽️

A newly founded RoboCup Soccer team from Inha University (2025).

Inha-United Team Photo 1
Inha-United Team Photo 2

About Inha-United

Inha-United is a collaborative research team composed of four major robotics and artificial intelligence laboratories at Inha University, aiming to achieve world-class research outcomes through humanoid robotics research.

Among them, the Soccer team studies humanoid soccer robot systems that enable autonomous perception, decision-making, and cooperation among multiple humanoid robots in complex and dynamic environments, based on camera-based visual perception and localization, learning-based control, and Behavior-Tree based decision-making architectures.

Principal Investigator

Inwook Shim

Inwook Shim

Professor

Younggun Cho

Younggun Cho

Professor

Junwoo Jang

Junwoo Jang

Professor

Woojin Ahn

Woojin Ahn

Professor

Team Member

Jaeyuk Seung

Jaeyuk Seung

Team Leader / Undergraduate

Eunbyeol Ko

Eunbyeol Ko

Undergraduate

Eungkyu Kim

Eungkyu Kim

Undergraduate

Mingyu Kim

Mingyu Kim

Undergraduate

Suhyeon Shin

Suhyeon Shin

Undergraduate

Jihun An

Jihun An

Undergraduate

Publications

2025

MSG-Loc: Multi-Label Likelihood-based Semantic Graph Matching for Object-Level Global Localization (Accepted) IEEE Robotics and Automation Letters (RA-L)
Gihyeon Lee, Jungwoo Lee, Juwon Kim, Young-Sik Shin, and Younggun Cho
Freeze-Frame with StaticNeRF Uncertainty-Guided NeRF Map Reconstruction in Dynamic Scenes IEEE Robotics and Automation Letters (RA-L)
Juhui Lee, Geonmo Yang, Seungjun Ma, and Younggun Cho
REPLAY: Robot Embodiment via Intent-aware Policy Imitation by Replicating Human Demonstrations from Video (Accepted) International Journal of Control, Automation and Systems (IJCAS)
Sung-Gil Park, Han-Byeol Kim, Yong-Geon Kim, Seuk-Woo Ryu, Byeong-Gil Yoo, Sungeun Chung, Yong-Jun Lee, Jeong-Seop Park, Woo-Jin Ahn*, Myo-Taeg Lim*
Practical Mixed Palletizing Manipulator System: Incorporating Practical Reinforcement Learning and Configuration-Space Motion Planning IEEE Transactions on Automation Science and Engineering (T-ASE)
Woo-Jin Ahn, Kyuwon Choi, Seong-Woo Kang, Cheol-Kyun Rho, Dong-Sung Pae, Myo-Taeg Lim
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning arXiv
Woo-Jin Ahn, Sang-Ryul Baek, Yong-Jun Lee, Hyun-Duck Choi, Myo-Taeg Lim
Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments IEEE Transactions on Intelligent Vehicles (T-IV)
Gilhwan Kang, Hogyun Kim, Byunghee Choi, Seokhwan Jeong, Young-Sik Shin, Younggun Cho
Registration beyond Points: General Affine Subspace Alignment via Geodesic Distance on Grassmann Manifold IEEE/CVF International Conference on Computer Vision (ICCV)
Jaeho Shin, Hyeonjae Gil, Junwoo Jang, Maani Ghaffari, Ayoung Kim
Contrastive Learning in NMPC Behavior Cloning for Generalized Trajectory Tracking of Marine Vehicles IEEE Journal of Oceanic Engineering
Junwoo Jang, Maani Ghaffari
SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability arXiv
Juho Bai, Inwook Shim
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning IEEE Robotics and Automation Letters (RA-L)
Tribhi Kathuria, Ke Liu, Junwoo Jang, X. Jessie Yang, Maani Ghaffari
TARG: Tree of Action-Reward Generation with Large Language Model for Cabinet Opening with Manipulator International Journal of Control, Automation and Systems (IJCAS)
Sung-Gil Park, Han-Byeol Kim, Yong-Jun Lee, Woo-Jin Ahn*, Myo-Taeg Lim*

2024

Close imitation of expert retouching for black-and-white photography Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Seunghyun Shin, Jisu Shin, Jihwan Bae, Inwook Shim, Hae-Gon Jeon
Efficient Data Collection Strategy for Modeling the Dynamics of Floating Robotic Vehicles Using Neural Networks Journal of Intelligent & Robotic Systems
Junwoo Jang, Haggi Do, Maani Ghaffari, Jinwhan Kim
Dynamic Multi-Object Analysis Using Particles for Social Navigation International Conference on Control, Automation and Systems (ICCAS)
Minho Lee, Miryeong Park, Jiyun Lee, and Younggun Cho
Salience-guided Ground Factor for Robust Localization of Delivery Robots in Complex Urban Environments IEEE International Conference on Robotics and Automation (ICRA)
Jooyong Park, Jungwoo Lee, Euncheol Choi, and Younggun Cho
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Woo-Jin Ahn, Geun-Yeong Yang, Hyun-Duck Choi, Myo-Taeg Lim

2023

Learning off-road terrain traversability with self-supervisions only IEEE Robotics and Automation Letters (RA-L)
Junwon Seo, Sungdae Sim, Inwook Shim
Convex geometric trajectory tracking using Lie algebraic MPC for autonomous marine vehicles IEEE Robotics and Automation Letters (RA-L)
Junwoo Jang, Sangli Teng, Maani Ghaffari
Scate: A scalable framework for self-supervised traversability estimation in unstructured environments IEEE Robotics and Automation Letters (RA-L)
Junwon Seo, Taekyung Kim, Kiho Kwak, Jihong Min, Inwook Shim

~2022

Slide: Self-supervised lidar de-snowing through reconstruction difficulty European Conference on Computer Vision (ECCV)
Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim

Inha-United Qualification Video

Striker Kicking
Pass Play
GoalKeeper Blocking

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