Dr. Hyemin Ahn

Technische Universität München
Human-centered Assistive Robotics (HCR)
Karlstraße 45 80333 München



Office hours: Please send e-mail in advance.

E-mail: hyemin.ahn@tum.de


Short Biography

2014 – 2020  The MS/Ph.D Integrated Course, Seoul National University, Korea
2010 – 2014 B.S., Seoul National University, Korea

Research Interests

Robot’s perception based on the Deep Learning


Publications

Journal Publication

  1. Hyemin Ahn*, Jaehun Kim*, Kihyun Kim*, and Songhwai Oh, "Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music", IEEE Robotics and Automation Letters, 2020
  2. Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh, "Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration," IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3308–3315, Oct. 2018.
  3. Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, and Songhwai Oh, "Online Learning to Approach a Person with No-Regret," IEEE Robotics and Automation Letters, vol. 3, no. 1, pp. 52-59, Jan. 2018.

International Conference

  1. Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh, "Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2018. (RA-L option) 
  2. Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh, "Text2Action: Generative Adversarial Synthesis from Language to Action," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.
  3. Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, and Songhwai Oh, "Online Learning to Approach a Person with No-Regret," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2017. (RA-L option)
  4. Hyemin Ahn, Hyunjun Kim, Yoonseon Oh, and Songhwai Oh, "Smartphone-Controlled Telerobotic Systems," in Proc. of the IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug. 2014

Master / PhD Thesis

Context-Aware Robot Behavior Learning for Practical Human-Robot Interaction