— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
In this paper, a symbolic dynamical model of the average queue size of the random early detection (RED) algorithm is proposed. The conditions on both the system parameters and the...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herber...
Force information from needle insertions was measured and modeled for use in robot-assisted percutaneous therapies. Data was collected on bovine livers using the Johns Hopkins Uni...
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 ...