Faculty

Our goal is to contribute to our society by proposing AI-based algorithms for robots that can coexist with humans. To achieve this goal, we believe the following three sub-goals need to be completed :
1. Robots need to understand humans.
2. Robots need to behave like humans.
3. Robots need to interact with humans.
To this end, we research AI-based Computer Vision, Natural Language Processing, and Motion Planning algorithms.
Note that our final objective is to build a system for natural HRI, by making good use of advanced AI-based perceptual abilities to plan appropriate robotic behavior.

[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