Hyunki Seong

Orcid: 0000-0002-7169-3006

According to our database1, Hyunki Seong authored at least 21 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Post-Training and Test-Time Scaling of Generative Agent Behavior Models for Interactive Autonomous Driving.
CoRR, December, 2025

VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving.
CoRR, November, 2025

Words to Wheels: Vision-Based Autonomous Driving Understanding Human Language Instructions Using Foundation Models.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Pixel-to-Control: End-to-End Autonomous Driving via Spatio-Temporal BEV Architecture for Control Sequence Prediction.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024
TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer.
IEEE Robotics Autom. Lett., December, 2024

Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment.
IEEE Trans. Intell. Transp. Syst., August, 2024

A versatile door opening system with mobile manipulator through adaptive position-force control and reinforcement learning.
Robotics Auton. Syst., 2024

Learning from Demonstration with Hierarchical Policy Abstractions Toward High-Performance and Courteous Autonomous Racing.
CoRR, 2024

Self-Supervised Interpretable Sensorimotor Learning via Latent Functional Modularity.
CoRR, 2024

Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Topological Exploration using Segmented Map with Keyframe Contribution in Subterranean Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity.
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.
Field Robotics, January, 2023

Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems.
IEEE Control. Syst. Lett., 2023

TempFuser: Learning Tactical and Agile Flight Maneuvers in Aerial Dogfights using a Long Short-Term Temporal Fusion Transformer.
CoRR, 2023

An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge.
CoRR, 2023

Data-Driven Model Identification via Hyperparameter Optimization for Autonomous Racing Systems.
CoRR, 2023

2022
Resilient Navigation and Path Planning System for High-speed Autonomous Race Car.
CoRR, 2022

2021
Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing.
CoRR, 2021

Learning to Drive at Unsignalized Intersections using Attention-based Deep Reinforcement Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Time-to-Line Crossing Enhanced End-to-End Autonomous Driving Framework.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020


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