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20212025
most citedGame-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing

16 citations · 19 across the 5 of their papers we have counts for

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9 papers · 1 filter

cs.RO2025

Post-Training and Test-Time Scaling of Generative Agent Behavior Models for Interactive Autonomous Driving

Hyunki Seong, Jeong-Kyun Lee, Heesoo Myeong +5

Learning interactive motion behaviors among multiple agents is a core challenge in autonomous driving. While imitation learning models generate realistic trajectories, they often i…

cs.RO2024

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

Chanyoung Chung, Hyunki Seong, David Hyunchul Shim

Fully autonomous racing demands not only high-speed driving but also fair and courteous maneuvers. In this paper, we propose an autonomous racing framework that learns complex raci…

cs.RO2024

Words to Wheels: Vision-Based Autonomous Driving Understanding Human Language Instructions Using Foundation Models

Chanhoe Ryu, Hyunki Seong, Daegyu Lee +3

This paper introduces an innovative application of foundation models, enabling Unmanned Ground Vehicles (UGVs) equipped with an RGB-D camera to navigate to designated destinations…

cs.RO2024

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

Hyunki Seong, David Hyunchul Shim

This paper focuses on the acquisition of mapless navigation skills within unknown environments. We introduce the Skill Q-Network (SQN), a novel reinforcement learning method featur…

cs.RO2023

Topological Exploration using Segmented Map with Keyframe Contribution in Subterranean Environments

Boseong Kim, Hyunki Seong, D. Hyunchul Shim

Existing exploration algorithms mainly generate frontiers using random sampling or motion primitive methods within a specific sensor range or search space. However, frontiers gener…

cs.RO2023

TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer

Hyunki Seong, David Hyunchul Shim

Dogfighting is a challenging scenario in aerial applications that requires a comprehensive understanding of both strategic maneuvers and the aerodynamics of agile aircraft. The aer…