7 citations · 11 across the 7 of their papers we have counts for
8 papers
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
Hamid Taheri, Seyed Rasoul Hosseini, Mohammad Ali Nekoui
Collision-free motion is essential for mobile robots. Most approaches to collision-free and efficient navigation with wheeled robots require parameter tuning by experts to obtain g…
Driver-Based Adaptation of Vehicular Ad Hoc Networks for Design of Active Safety Systems
Ali Rakhshan, Hossein Pishro-Nik, Mohammad Nekoui
This paper studies the need for individualizing vehicular communications in order to improve collision warning systems for an N-lane highway scenario. By relating the traffic-based…
Tuning Collision Warning Algorithms to Individual Drivers for Design of Active Safety Systems
Ali Rakhshan, Hossein Pishro-Nik, Donald L. Fisher +1
Every year, many people are killed and injured in highway traffic accidents. In order to reduce such casualties, collisions warning systems has been studied extensively. These syst…
Results on Finite Wireless Sensor Networks: Connectivity and Coverage
Ali Eslami, Mohammad Nekoui, Hossein Pishro-Nik +1
Many analytic results for the connectivity, coverage, and capacity of wireless networks have been reported for the case where the number of nodes, , tends to infinity (large-sca…
Analysis of Two Time Scale Property of Singularly Perturbed System on Chaotic Attractor
Mozhgan Mombeini, Ali Khaki Sedigh, Mohammad Ali Nekoui
The idea that chaos could be a useful tool for analyze nonlinear systems considered in this paper and for the first time the two time scale property of singularly perturbed systems…
Adaptive control of the singularly perturbed chaotic systems based on the scale time estimation by keeping chaotic property
Mozhgan Mombeini, Ali Khaki Sedigh, Mohammad Ali Nekoui
In this paper, a new approach to the problem of stabilizing a chaotic system is presented. In this regard, stabilization is done by sustaining chaotic properties of the system. Sus…
Adaptive Neuro-Fuzzy Extended Kalman Filtering for Robot Localization
Ramazan Havangi, Mohammad Ali Nekoui, Mohammad Teshnehlab
Extended Kalman Filter (EKF) has been a popular approach to localization a mobile robot. However, the performance of the EKF and the quality of the estimation depends on the correc…
A Neuro-Fuzzy Multi Swarm FastSLAM Framework
R. Havangi, M. Teshnehlab, M. A. Nekoui
FastSLAM is a framework for simultaneous localization using a Rao-Blackwellized particle filter. In FastSLAM, particle filter is used for the mobile robot pose (position and orient…