Repository for Publications and Research Data

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Recently Added 

  1. How Many Grid-Forming Converters Do We Need? A Perspective From Small Signal Stability and Power Grid Strength 

    Xin, Huanhai; Liu, Chenxi; Chen, Xia; et al. (2025)
    IEEE Transactions on Power Systems
    Grid-forming (GFM) control has been considered a promising solution for accommodating large-scale power electronics converters into modern power grids thanks to its grid-friendly dynamics, in particular, voltage source behavior on the AC side. The voltage source behavior of GFM converters can provide voltage support for the power grid, and therefore enhance the power grid (voltage) strength. However, grid-following (GFL) converters can ...
    Journal Article
  2. LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks 

    Yang, Liudi; Mascaro, Ruben; Alzugaray, Ignacio; et al. (2025)
    Journal of Intelligent & Robotic Systems
    In this paper, we propose a novel loop closure detection algorithm that uses graph attention neural networks to encode semantic graphs to perform place recognition and then use semantic registration to estimate the 6 DoF relative pose constraint. Our place recognition algorithm has two key modules, namely, a semantic graph encoder module and a graph comparison module. The semantic graph encoder employs graph attention networks to efficiently ...
    Journal Article
  3. An Augmented Reality Visor for Intraoperative Visualization, Guidance, and Temperature Monitoring Using Fluorescence 

    Cipolato, Oscar; Fauconneau, Matthias; Levalley, Paige J.; et al. (2024)
    Journal of Biophotonics
    Fluorescence-guided surgeries, including tumor resection and tissue soldering, are advancing the frontiers of surgical precision by offering enhanced control that minimizes tissue damage, improving recovery and outcomes. However, integrating fluorescence visualization with real-time temperature monitoring remains a challenge, limiting broader clinical use. We address this issue with an augmented reality (AR) visor that combines nanomaterial ...
    Journal Article
  4. Scalable Multi-Robot Cooperation for Multi-Goal Tasks Using Reinforcement Learning 

    An, Tianxu; Lee, Joonho; Bjelonic, Marko; et al. (2025)
    IEEE Robotics and Automation Letters
    Coordinated navigation of an arbitrary number of robots to an arbitrary number of goals is a big challenge in robotics, often hindered by scalability limitations of existing strategies. This letter introduces a decentralized multi-agent control system using neural network policies trained in simulation. By leveraging permutation invariant neural network architectures and model-free reinforcement learning, our policy enables robots to ...
    Journal Article
  5. Climate model downscaling in central Asia: a dynamical and a neural network approach 

    Fallah, Bijan; Rostami, Masoud; Russo, Emmanuele; et al. (2025)
    Geoscientific Model Development
    High-resolution climate projections are essential for estimating future climate change impacts. Statistical and dynamical downscaling methods, or a hybrid of both, are commonly employed to generate input datasets for impact modelling. In this study, we employ COSMO-CLM (CCLM) version 6.0, a regional climate model, to explore the benefits of dynamically downscaling a general circulation model (GCM) from the Coupled Model Intercomparison ...
    Journal Article

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