LEARNER

SLAM and Path Planning Middleware Package for Robots in Challenging Environments

LEARNER DATASETS

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Within LEARNER, the development of the proposed methodologies is heavily based on hyper-realistic synthetic datasets. We make use of Unreal Engine 5 and Nvidia Omniverse to produce two representative environments corresponding to an office and a warehouse site, which can be found at: https://doi.org/10.5281/zenodo.14823070


We encourage readers to make use of our produced data for their research and site our project, under the restriction of following the acknowledgment below:

This work is implemented in the framework of H.F.R.I call "Basic research Financing (Horizontal support of all Sciences)" under the National Recovery and Resilience Plan "Greece 2.0" funded by the European Union – NextGenerationEU (H.F.R.I. Project Number: 15339).