Multi-agent systems can be viewed as object-oriented systems in which their entities show an autonomous behavior. If objects could acquire such skill in a flexible way, agents coul...
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
We present novel randomized algorithms for solving global motion planning problems that exploit the computational capabilities of many-core GPUs. Our approach uses thread and data...
In this paper we develop a notion of “objective trust” for Software Agents, that is trust of, or between, Agents based on actual experiences between those Agents. Experiential ...
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...