— The goal of this paper is to serve as a reference for researchers in robotics and control that are interested in realistic modeling, theoretical analysis and simulation of wire...
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
The recent emergence of clouds is making the vision of utility computing realizable, i.e. computing resources and services can be delivered, utilized, and paid for as utilities su...
— This paper addresses the problem of generating optimal joint trajectories for redundant manipulators when multiple criteria are to be considered. A dynamic programming approach...
A. Guigue, Mojtaba Ahmadi, M. J. D. Hayes, R. Lang...