교원소개

본 연구실의 목표는 인간과 공존 가능한 로봇을 위한 인공지능기반 알고리즘을 제안함으로써 우리 사회에 기여하는 것입니다. 해당 목표 달성을 위해, 우리는 다음과 같은 세 가지의 하위 목표들이 달성되어야 한다고 생각합니다. (1) 로봇은 인간을 이해할 수 있어야 합니다. (2) 로봇은 인간처럼 행동할 줄 알아야 합니다 (3) 로봇은 인간과 상호작용 할 수 있어야 합니다. 이를 위해, 우리는 인공지능기반 컴퓨터 비전, 자연어 처리, 그리고 행동 및 동작 계획 알고리즘들을 연구합니다. 최종적으로는 인공지능의 발전된 인지능력을 로봇 행동 계획 을 위해 사용함으로써 자연스러운 인간-로봇 상호작용이 가능한 시스템을 구축하고자 합니다.

[Curriculum Vitae]

●Assistant Professor (2022 ~ Present)
– UNIST, South Korea
– AIGS, Dept. of Electrical Engineering.

●Postdoc Researcher (2020 ~ 2022)
– Institute of Robotics and Mechatronics, German Aerospace Center, Germany
– Human-centered Assistant Robotics Group, Technical University of Munich, Germany
– Advisor: prof. Dongheui Lee

● Graduate Research Assistant (2014 ~ 2020)
– Dept. of Electrical and Computer Engineering, Seoul National Um/ersity, South Korea
– Advisor: prof. Songhwai Oh

[Education]

● Ph.D/Ms.C Integrated (2020)
– Dept of Electrical and Computer Engineering, Seoul National University, South Korea.
– Advisor: prof. Songhwai Oh.
● Bachelor (2014)
– Dept of Electrical and Computer Engineering, Seoul National Unversity, South Korea

[Research  Keywords and Topics]

Human-Robot Interaction, Artificial Intelligence, Deep Learning, Motion Generation, Learning-based Robot Behavior Planning, Personal Robotics, Emotion Understanding, Personality Modeling.

[Publications (selected)]

● Hyemin Ahn, et. al. “Text2Action: Generative Adversarial Synthesis from Language to Action”, IEEE International Conference on Robotics and Automation (ICRA), 2018.
● Hyemin Ahn, et. al. “Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music”, IEEE Robotics and Automation Letters (RA-L), 2020.
● Hyemin Ahn and Dongheui Lee, “Refining Action Segmentation with Hierarchical Video Representations”, IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
● Hyemin Ahn, et. al. “Can We Use Diffusion Probabilitic Models for 3D Motion Prediction?”, IEEE International Conference on Robotics and Automation (ICRA), 2023.
● Hyemin Ahn, et. al, “Vision-based Approximate Estimation of Muscle Activation Patterns for Tele-Impedance, IEEE Robotics and Automation Letters (RA-L), 2023.

[Awards/ Honors/ Memberships]

● Accessibility Chair (Organizing Committee), Robotics: Science and Systems (RSS), 2023
● Woman Forum Chair (Organizing Committee), International Conference on Intelligent Robots and Systems (IROS), 2025