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    • OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics 

      Passalis, N.; Pedrazzi, S.; Babuska, R.; Burgard, W.; Dias, D.; Ferro, F.; Gabbouj, M.; Green, O.; Iosifidis, A.; Kayacan, E.; Kober, J.; Michel, O.; Nikolaidis, N.; Nousi, P.; Pieters, R.; Tzelepi, M.; Valada, A.; Tefas, A. (IEEE, 2022)
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      Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the ...