8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2020
One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke +2
Path planning plays a crucial role in robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed.…
cs.LG2019★ 8 cited
Attention on Abstract Visual Reasoning
Lukas Hahne, Timo Lüddecke, Florentin Wörgötter +1
Attention mechanisms have been boosting the performance of deep learning models on a wide range of applications, ranging from speech understanding to program induction. However, de…
cs.CV2017
Learning to Label Affordances from Simulated and Real Data
Timo Lüddecke, Florentin Wörgötter
An autonomous robot should be able to evaluate the affordances that are offered by a given situation. Here we address this problem by designing a system that can densely predict af…