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Tag: AI for Cooperative Robots
  • Research Highlight

    Imaging with Events: High-resolution High-quality HDR Imaging using Event Cameras

    New algorithms have been developed to generate non-blurry, high-resolution, high-quality, and high-dynamic range intensity images using sparse event streams from an event camera, which is a new imaging sensor able to capture visual information with low latency even under extremely low illumination....read more

    AI for Cooperative Robots Computer Vision Deep Learning Event Camera KI for Robotics (KIR) Machine Learning Super-resolution Super-resolution with Event Camera
  • Research Highlight

    Self-Supervised Learning to Distill Hierarchy in High-Dimensional Dynamic Systems

    Prof. Han-Lim Choi’s research team has developed a learning framework to control a high-dimensional robotic system that distills underlying hierarchical structure in robot motion data. By learning high-level intentions as well as low-level control actions, the proposed framework enables adaptation of policy learned from a certain task to much more diverse sets of tasks. ...read more

    AI for Cooperative Robots Deep Learning High-Dimensional Systems Interpretable AI KI for Robotics Reinforcement Learning Representation Learning Robust Intelligence Under Uncertainty
  • Research Highlight

    Automatic Multi-Target Detection and Tracking for Unmanned Surface Vehicles

    An algorithm for detecting and tracking multiple targets in marine environments was developed by a team of student researchers at KI-R. The algorithm was applied to an 8-m long unmanned surface vehicle and its performance was demonstrated in field tests in a real-sea environment....read more

    AI for Cooperative Robots Intelligence and Autonomy for Marine Robots KAIST Institute for Robotics
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