Researchers from UniMoRe, NYU, The University of Edinburgh, and IMATI-CNR developed a numerically robust and practically efficient algorithm for 3D Constrained Delaunay Tetrahedrization (CDT). It achieves a 100% success rate on the Thingi10k dataset, resolving numerical fragility and an algorithmic flaw present in the state-of-the-art `tetgen` software.
Researchers developed an open-source, high-fidelity autonomous racing simulation benchmark based on Assetto Corsa, complete with Gym/ROS2 interfaces and a large dataset of human and algorithmic driving data. The platform facilitated benchmarking, showing that an RL agent (SAC fD) surpassed a professional e-sports driver on one car/track combination, and pre-trained TD-MPC2 policies achieved few-shot transfer with faster convergence on new tracks.
Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important in Cyber-Physical Systems (CPS) programming. This article describes TeamPlay, a research project funded under the EU Horizon 2020 programme between January 2018 and June 2021. TeamPlay aimed to provide the system designer with a toolchain for developing embedded applications where ETS properties are first-class citizens, allowing the developer to reflect directly on energy, time and security properties at the source code level. In this paper we give an overview of the TeamPlay methodology, introduce the challenges and solutions of our approach and summarise the results achieved. Overall, applying our TeamPlay methodology led to an improvement of up to 18% performance and 52% energy usage over traditional approaches.
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