Browsing by Author "von Stryk, Oskar"

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    • Deep Learning for Semantic Segmentation on Minimal Hardware 

      Dijk, Sander G. van; Scheunemann, Marcus M. (Springer Nature, 2019-08-04)
      Deep learning has revolutionised many fields, but it is still challenging to transfer its success to small mobile robots with minimal hardware. Specifically, some work has been done to this effect in the RoboCup humanoid ...

    • The human in the loop Perspectives and challenges for RoboCup 2050 

      Rossi, Alessandra; Paetzel-Prüsmann, Maike; Keijsers, Merel; Anderson, Michael; Anderson, Susan Leigh; Barry, Daniel; Gutsche, Jan; Hart, Justin; Iocchi, Luca; Kokkelmans, Ainse; Kuijpers, Wouter; Liu, Yun; Polani, Daniel; Roscon, Caleb; Scheunemann, Marcus; Stone, Peter; Vahl, Florian; van de Molengraft, René; von Stryk, Oskar (2024-05-16)
      Robotics researchers have been focusing on developing autonomous and human-like intelligent robots that are able to plan, navigate, manipulate objects, and interact with humans in both static and dynamic environments. These ...