Abstract. Prediction and Planning are essential elements of successful human driving, making them equally important for autonomously driving systems. Many approaches achieve planni...
Irene Markelic, Tomas Kulvicius, Minija Tamosiunai...
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
Simulation theories have in recent years proposed that a cognitive agent's "inner world" can at least partly be constituted by internal emulations or simulations of ...
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Grasping an object successfully implies avoiding colliding into it before the hand is closed around the object. The present study focuses on prehension kinematics that typically re...
Janneke Lommertzen, Eliana Costa e Silva, Raymond ...
Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical ...