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Sebastian Herzog

2 accepted papers

2020

One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks

ICRA 2020poster

Path planning is important for 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. Most of the current approaches are iterative methods where the trajectory is generated by predicting the next state based on t…

Cited by 8SourceScholar
2016

Optimal trajectory generation for generalization of discrete movements with boundary conditions

IROS 2016poster

Trajectory generation methods play an important role in robotics since they are essential for the execution of actions. In this paper we present a novel trajectory generation method for generalization of accurate movements with boundary conditions. Our approach originates from optimal control theory…

Cited by 4SourceScholar