Development of bio-mimetic robot hand using parallel mechanisms. - Seokwon Lee; Samyeul Noh; Yongkwun Lee; Jong Hyeon Park (ROBIO, 2009)

χ2 Metric learning for nearest neighbor classification and its analysis. - Samyeul Noh (ICPR, 2012)

Situation assessment and behavior decision for vehicle/driver cooperative driving in highway environments. - Samyeul Noh; Kyounghwan An; Wooyong Han (CASE, 2015)

High-Level Data Fusion Based Probabilistic Situation Assessment for Highly Automated Driving. - Samyeul Noh; Kyounghwan An; Wooyong Han (ITSC, 2015)

Risk assessment for automatic lane change maneuvers on highways. - Samyeul Noh; Kyounghwan An (ICRA, 2017)

Probabilistic Collision Threat Assessment for Autonomous Driving at Unsignalized T-Junctions: Merging into Traffic on the Major Road and Being Merged by Traffic on the Minor Road. - Samyeul Noh (ICTC, 2018)

Probabilistic Collision Threat Assessment for Autonomous Driving at Road Intersections Inclusive of Vehicles in Violation of Traffic Rules. - Samyeul Noh (IROS, 2018)

Decision-Making Framework for Automated Driving in Highway Environments. - Samyeul Noh; Kyounghwan An (IEEE Trans. Intell. Transp. Syst., 2018)

Intelligent Interaction System Capable of Autonomous Mobility for At-Home Workouts. - Samyeul Noh; Sang-baek Lee; Jiyoung Park (ICTC, 2019)

Decision-Making Framework for Autonomous Driving at Road Intersections: Safeguarding Against Collision, Overly Conservative Behavior, and Violation Vehicles. - Samyeul Noh (IEEE Trans. Ind. Electron., 2019)

Position-Based Visual Servoing of Multiple Robotic Manipulators: Verification in Gazebo Simulator. - Samyeul Noh; Chanwon Park; Junhee Park (ICTC, 2020)

Autonomous Mobile Robot Navigation in Indoor Environments: Mapping, Localization, and Planning. - Samyeul Noh; Jiyoung Park; Junhee Park (ICTC, 2020)

Stochastic Policy Optimization with Heuristic Information for Robot Learning. - Seonghyun Kim; Ingook Jang; Samyeul Noh; Hyunseok Kim (CoRL, 2021)

Reliable, robust, and comprehensive risk assessment framework for urban autonomous driving. - Samyeul Noh; Kyounghwan An (J. Comput. Des. Eng., 2022)

An Analysis of the Impact of Dataset Characteristics on Data-Driven Reinforcement Learning for a Robotic Long-Horizon Task. - Ingook Jang; Samyeul Noh; Seonghyun Kim; Donghun Lee (ICTC, 2023)

Multi-robot Benchmark for Collaborative Manipulation Tasks. - Seonghyun Kim; Ingook Jang; Samyeul Noh; Donghun Lee; Heechul Bae (ICTC, 2023)

High-level Visual Representation via Perceptual Representation Learning. - Donghun Lee; Seonghyun Kim; Samyeul Noh; Heechul Bae; Ingook Jang (ICTC, 2023)

An Empirical Investigation of Visual Reinforcement Learning for 3D Continuous Control. - Samyeul Noh; Seonghyun Kim; Ingook Jang; Donghun Lee (ICTC, 2023)

Exploring Action Quantization for Data-Driven Learning in Robotic Continuous Control Tasks. - Ingook Jang; Seonghyun Kim; Samyeul Noh (ICTC, 2024)

Conservative Reward-Action Balancing Transformer. - Seonghyun Kim; Samyeul Noh; Ingook Jang (ICTC, 2024)

Object-Centric Scene Representation Learning via SAM. - Donghun Lee; Samyeul Noh; Ingook Jang; Seonghyun Kim; Soonyong Song; Heechul Bae (ICTC, 2024)

Exploring Visual Reinforcement Learning for Sample-Efficient Robotic Manipulation. - Samyeul Noh; Seonghyun Kim; Ingook Jang (ICTC, 2024)

Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization. - Samyeul Noh; Wooju Lee; Hyun Myung (Neural Networks, 2025)