28 citations · 83 across the 13 of their papers we have counts for
3 papers · 1 filter
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter
Finding optimal paths in connected graphs requires determining the smallest total cost for traveling along the graph's edges. This problem can be solved by several classical algori…
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.…
Generation of Paths in a Maze using a Deep Network without Learning
Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite +1
Trajectory- or path-planning is a fundamental issue in a wide variety of applications. Here we show that it is possible to solve path planning for multiple start- and end-points hi…