Time-to-Line Crossing Enhanced End-to-End Autonomous Driving Framework. - Chanyoung Jung; Hyunki Seong; David Hyunchul Shim (ITSC, 2020)

Learning to Drive at Unsignalized Intersections using Attention-based Deep Reinforcement Learning. - Hyunki Seong; Chanyoung Jung; Seungwook Lee; David Hyunchul Shim (ITSC, 2021)

Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing. - Chanyoung Jung; Seungwook Lee; Hyunki Seong; Andrea Finazzi; David Hyunchul Shim (CoRR, 2021)

Resilient Navigation and Path Planning System for High-speed Autonomous Race Car. - Daegyu Lee; Chanyoung Jung; Andrea Finazzi; Hyunki Seong; David Hyunchul Shim (CoRR, 2022)

Data-Driven Model Identification via Hyperparameter Optimization for Autonomous Racing Systems. - Hyunki Seong; Chanyoung Chung; David Hyunchul Shim (CoRR, 2023)

An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge. - Chanyoung Jung; Andrea Finazzi; Hyunki Seong; Daegyu Lee; Seungwook Lee; Bosung Kim; Gyuri Gang; Seungil Han; David Hyunchul Shim (CoRR, 2023)

TempFuser: Learning Tactical and Agile Flight Maneuvers in Aerial Dogfights using a Long Short-Term Temporal Fusion Transformer. - Hyunki Seong; David Hyunchul Shim (CoRR, 2023)

Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems. - Hyunki Seong; Chanyoung Chung; David Hyunchul Shim (IEEE Control. Syst. Lett., 2023)

An Autonomous Racing System: Design, Implementation, and Analysis; Team KAIST at the IAC. - Chanyoung Jung; Andrea Finazzi; Hyunki Seong; Daegyu Lee; Seungwook Lee; Boseong Kim; Gyuree Kang; David Hyunchul Shim (Field Robotics, 2023)

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity. - Hyunki Seong; David Hyunchul Shim (ICML, 2024)

Topological Exploration using Segmented Map with Keyframe Contribution in Subterranean Environments. - Boseong Kim; Hyunki Seong; David Hyunchul Shim (ICRA, 2024)

Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments. - Hyunki Seong; David Hyunchul Shim (IROS, 2024)

Self-Supervised Interpretable Sensorimotor Learning via Latent Functional Modularity. - Hyunki Seong; David Hyunchul Shim (CoRR, 2024)

Words to Wheels: Vision-Based Autonomous Driving Understanding Human Language Instructions Using Foundation Models. - Chanhoe Ryu; Hyunki Seong; Daegyu Lee; Seongwoo Moon; Sungjae Min; David Hyunchul Shim (CoRR, 2024)

Learning from Demonstration with Hierarchical Policy Abstractions Toward High-Performance and Courteous Autonomous Racing. - Chanyoung Chung; Hyunki Seong; David Hyunchul Shim (CoRR, 2024)

A versatile door opening system with mobile manipulator through adaptive position-force control and reinforcement learning. - Gyuree Kang; Hyunki Seong; Daegyu Lee; David Hyunchul Shim (Robotics Auton. Syst., 2024)

Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment. - Daegyu Lee; Hyunki Seong; Gyuree Kang; Seungil Han; David Hyunchul Shim; Yoonjin Yoon (IEEE Trans. Intell. Transp. Syst., 2024)

TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer. - Hyunki Seong; David Hyunchul Shim (IEEE Robotics Autom. Lett., 2024)