3 accepted papers
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…
Human-robot interaction strongly benefits from fast, predictive action recognition. For us this is relatively easy but difficult for a robot. To address this problem, here we present a novel prediction algorithm for manipulation action classes in video sequences. Manipulations are first represented…
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…