—Driven by market needs and laws, automotive manufacturers develop ever more feature-rich and complex vehicles. This new functionality plays even an active role in driving, what ...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary compl...
Andreas Haeberlen, Jochen Liedtke, Yoonho Park, La...
Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to suppor...
– Motion synchronization in mobile robot networks is a fundamental task in distributed multi-robot collaboration. In this paper, we investigate the robustness of synchronous spee...