In this paper, we present an approach for quantifying the propagated uncertainty of robot
systems in an online and data-driven manner. Especially in Human-Robot Collaboration …

We investigate the problem of vehicle route planning in a dynamic environment. In order to
better reflect real-life situations, we assume that travel times are not known exactly, but …

In this paper, grey wolf optimization controller (GWOC) is considered as a multiobjective
technique for multiple humanoid navigations. Upon activation of GWOC, the humanoids …

In this paper, we introduce a probabilistic approach to risk assessment of robot systems by
focusing on the impact of uncertainties. While various approaches to identifying systematic …

This study presents the development of mobile robot navigation for detecting suspicious
objects in unknown environments. This mobile robot control system combines camera vision …

In this paper, a robot navigation model is constructed in MATLAB-Simulink. This robot
navigation model make the robot capable for the obstacles avoidance in unknown …

As a basis of many missions, the accuracy of localization is highly important for mobile
robots. For the generally used map matching based localization algorithms, the accuracy of …

Robot navigation in unknown and dynamic environments may result in aimless wandering,
corner traps and repetitive path loops. To address these issues, this paper presents the …

We investigate the role of an information market in improving navigation outcomes for risk-
averse multi-agent systems with incomplete state information. Given a partially observed …

L'avancée technologique a permis à l'homme de se substituer dans les milieux hostiles par
des robots. Les robots à six pattes sont considérés à ce jour les robots les plus utilisés dans …