Research Field


Our lab focuses on the research and development of Robotics Technologies for Smart Cities. The research fields include autonomous robot navigation, AI, machine learning, monitoring, inspection, control, and rehabilitation for smart cities and civil infrastructures. We also deal with big data informatics supporting sensing, analysis and design activities needed to construct and operate smart and sustainable built environments.

 [Core robotics technologies for Smart-City]

Research Interests

Our research interests are categorized into the following areas, but are not limited to: 

  • Autonomous Robot Navigation 
    • Vision, LiDAR, magnetic field, beacon-based SLAM (Simultaneous Localization And Mapping)
    • Autonomous navigation of self-driving cars
    • Indoor positioning in a fire disaster situation
    • UAV (Unmanned Aerial Vehicle) navigation
    • Self-localization at GPS outages
    • Underground navigation
    • Autonomous navigation of surface vehicles
    • Underwater robot (AUV, robotic fish) navigation

  • Machine Learning & Artificial Intelligence 
    • Deep learning: DNN (Deep neural networks), Bio-inspired NN, Spiking NN, etc.
    • Machine learning: SVM, PCA, ICA, etc.
    • Computational intelligence: Evolutionary computation, Neural networks, Fuzzy logic
    • Applications: Gesture recognition for HRI (Robot-Human Interaction), Object recognition

      • Intelligent Robots
        • 3D environment sensing & perception: Autonomous 3D map-building
        • 3D robot navigation: 3D localization, obstacle avoidance, and path planning
        • Fault detection based on 3D map-matching

      • Monitoring and Inspection for Smart Cities
        • Structural health monitoring (SHM) using IT techniques (Vision, LRF) 
        • Localization and navigation of smart vehicles for structural inspection

            • Environmental Robotics
              • Ubiquitous robot design for environmental inspection and surveillance
              • Eco-systematic robot design: Rechargeable during its working, Power reproduction mechanism, etc.
              • Environmental rehabilitation robot: Automatic pollution detection and purification by using manipulation and mobility

            Research Directions

            • 더 새롭게, 더 다르게 (New & Different, World First!)
              • 남이 하지 않는 것을 한다
              • 남이 이미 잘 하는 것, 많이 하는 것은 하지 않는다.
              • 한 우물을 판다. (한 연구주제에 대해 10년 이상 투자)
              • 다양한 분야와 융합한다. (깊이 있는 연구를 바탕으로 다양한 응용 분야 발굴)
            • 재미있고, 감동을 주는 연구 (Fun & Impact)
              • 일을 하며 재미있을 주제를 설정한다.
              • 사회적인 기여도가 큰 (impact가 있는) 연구를 한다.
              • 빈부의 격차를 해소하는 공익을 추구하는 연구를 한다.
              • 산업화와 연계될 수 있는 실질적인 것을 한다. (경제적, 기술적 파급효과)