Hyunki Seong

According to our database, Hyunki Seong authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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., August, 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

Learning from Demonstration with Hierarchical Policy Abstractions Toward High-Performance and Courteous Autonomous Racing.

Chanyoung Chung, 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

Self-Supervised Interpretable Sensorimotor Learning via Latent Functional Modularity.

Hyunki Seong, David Hyunchul Shim

CoRR, 2024

Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments.

Hyunki Seong, David Hyunchul Shim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Topological Exploration using Segmented Map with Keyframe Contribution in Subterranean Environments.

Boseong Kim, Hyunki Seong, David Hyunchul Shim

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity.

Hyunki Seong, David Hyunchul Shim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, January, 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

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

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

Data-Driven Model Identification via Hyperparameter Optimization for Autonomous Racing Systems.

Hyunki Seong, Chanyoung Chung, David Hyunchul Shim

CoRR, 2023

2022

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

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

Learning to Drive at Unsignalized Intersections using Attention-based Deep Reinforcement Learning.

Hyunki Seong, Chanyoung Jung, Seungwook Lee, David Hyunchul Shim

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Time-to-Line Crossing Enhanced End-to-End Autonomous Driving Framework.

Chanyoung Jung, Hyunki Seong, David Hyunchul Shim

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020