In this paper we derive the singularity-free dynamic equations of vehiclemanipulator systems using a minimal representation. These systems are normally modeled using Euler angles,...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
In this paper, we propose a new technique for the combined voltage scaling of processors and communication links, taking into account dynamic as well as leakage power consumption....
Alexandru Andrei, Marcus T. Schmitz, Petru Eles, Z...
Multi-agent systems where the members are developed by parties with competing interests, and where there is no access to a member’s internal state, are often classified as ‘o...
— In this paper, a communication-efficient dynamic task scheduling algorithm for a heterogeneous multi-robot system is proposed. To make this task scheduling algorithm to be scal...