Abstract— Traditionally Interest Management (IM) in distributed environments has been performed through a ‘top-down’ expression of interest patterns in the model. For many mo...
— This paper proposes a population based adaptive tuning for dynamic position control of robot manipulators. The dynamic behavior of a robot manipulator is highly nonlinear, and ...
Next generation embedded systems place new demands on an efficient methodology for their design and verification. These systems have to support interaction over a network, multipl...
Josef Fleischmann, Klaus Buchenrieder, Rainer Kres...
Abstract— Probabilistic roadmaps (PRM) have been demonstrated to be very promising for planning paths for robots with high degrees of freedom in complex 3D workspaces. In this pa...
Khaled Belghith, Froduald Kabanza, Leo Hartman, Ro...
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...