Human-Robot Interaction and Robot Intelligence (HRI & RI) Group

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About the Group

The Human-Robot Interaction (HRI) and Robot Intelligence (RI) Group, as a part of Robotics and Media Institute in KIST, is one of the most active research units for intelligent robots in Korea. HRI and Robot Intelligence are the multidisciplinary fields with contributions from human–computer interaction, artificial intelligence, robotics, natural language understanding, design, medical and social sciences. Our group is mainly interested in the following research areas:


  • Human-Robot Interaction
  • Visual Perception for Robot (Object Recognition, Tracking, Behavior Analysis)
  • Robot Audition (Sound Localization, Sound Classification)
  • Human Motion and Analysis for Humanoid Robots
  • Social Robotics
  • Robot Intelligence
  • Vision-based Semantic Navigation
  • Vision-based Manipulation with Affordance Concept
  • Multi-agent Robots (AV-fusion based Leader-Following)
  • Intelligent S/W Architecture and Learning for Robot Intelligence
  • AI-based Robot Planning
  • Rehabilitation/Assist Robots with Social Cognition.

The HRI and RI Group aims to develop the fundamental technologies on the above areas and tries to make them useful in many practical applications, not only robotics fields but other industries. As recent applications, our group have developed a socially assistive robotic companion to help some autistic children and have been also developing a life-care robot to monitor and socially assist dementia patients.

In all the HRI and robot intelligence areas, the HRI and RI Group can be a direct contact point for the related companies, and offer a lot of technological know-hows and a broad variety of experts as well as the latest technologies required to help them achieve their goals. The group is trying to provide applied R&Ds in almost all HRI and RI sectors for a broad range of robotic industries.


Current Projects

Recent Publications

  • H Cheong, E. Kim and SK Park, "Indoor Global Localization using depth-guided photometric edge descriptor for mobile robot navigation," IEEE Sensors Journal, 2019.
  • Changjoo Nam and D. A. Shell, "Robots in the Huddle: Upfront Computation to Reduce Global Communication at Run-time in Multi-Robot Task Allocation," IEEE Transactions on Robotics (T-RO), 2019.
  • C Kim, D. Song, CS Kim and SK Park, "Object Tracking Under Large Motion : Combining Coarse-to-Fine Search with Subpixels," Information Sciences, vol. 480, pp. 194~210, 2019.
  • D. Song, C. Kim, and Sung-Kee Park, "A Multi-Temporal Framework for High-Level Activity Analysis: Violent Event Detection in Visual Surveillance," Information Sciences, vol. 447, pp.83-103, 2018.
  • Y. Lim, R. Lagoy, B. Shinn-Cunningham, T. Gardner, "Transformation of temporal sequences in the zebra finch auditory system," eLife 2016;10.7554/eLife.18205
  • SS Yun, H Kim, JS Choi, Sung-Kee Park, "A robot-assisted behavioral intervention system for children with autism spectrum disorders," Robotics and Automation System, vol. 76, pp.58-67, 2016.
  • Y Chen, Y Ma, DH Kim, Sung-Kee Park,"Region-Based Object Recognition by Color Segmentation Using a Simplified PCNN," IEEE Transactions on Neural Networks and Learning Systems, 26(8), pp.1682-1697, 2015.
  • RK Ala, DH Kim, SY Shin, CH Kim, Sung-Kee Park, "A 3D-grasp synthesis algorithm to grasp unknown objects based on graspable boundary and convex segments," Information Sciences, vol.295, pp.91-106, 2015.
  • S Park, Sung-Kee Park, M Hebert, "Fast and scalable approximate spectral matching for higher order graph matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (3), pp.479-492, 2014.
  • For more publications...

Recruiting (신규 연구원 모집)

  • 석사급 위촉연구원, 박사후 과정 연구원분을 항상 초빙합니다!!! (로봇지능 및 컴퓨터비전 분야, 연락처 :
  • 석사급 및 박사급 별정직 연구원을 초빙합니다. (KIST 인턴연구원 채용공지 참조)
    - 컴퓨터비전, 머신러닝, 패턴인식, 영상처리 분야
    - 졸업예정자 또는 타기관 근무경력 6개월 미만 연구자
    - 연락처: 김동환
  • 인턴 연구원(학사/석사), 학연 학생(석/박사과정)을 모집합니다. (Logic-based planning 분야, 연락처: 남창주(cjnam at