Abstract. Within Self-reconfiguring systems two basic problems arise: on instruction level, reconfigurable instruction sets make program generation and execution inherently difficu...
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...
A variety of reactive plan execution systems have been developed in recent years, each attempting to solve the problem of taking reasonable courses of action fast enough in a dyna...
Recently, we presented two very low-cost approaches to compile-time list scheduling where the tasks’ priorities are computed statically or dynamically, respectively. For homogen...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...