Gábor Bohács

Adaptive Simulation of Automated Guided Vehicle Systems Using Multi Agent Based Approach for Supplying Materials

Application of agent based approaches is frequent in systems with artificial intelligence. This method has been used in simulations as well, however application in this field is rather novel. The paper surveys formation possibilities of agent based structures in the simulation of an example material flow systems. Further, considerations are also presented, how these models can be made adaptive, which makes them capable of continuously modify their features to the modeled physical system. Finally a framework for a proposed modeling problem is introduced.

Intermodal Logistics Processes Supported by Electronic Freight and Warehouse Exchanges

Nowadays, modern companies operate in a common logistics network. In a modern approach, these networks of companies are called virtual enterprises, whose main purpose is the maximal fulfillment of customer needs and process optimization. The electronic freight and warehouse exchange is a good basis for building virtual enterprises, and that may be a new way to support the reorganization of the supply chains, and to rethink the connections within the intermodal network. Firstly, the paper presents the need of intermodality. On the other hand, it details the benefits and the critical evaluation of intermodality. It presents the general transshipment processes and techniques then evaluates the containers based on their main features. On this basis, the paper describes the electronic freight and warehouse exchange as a member of cloud supply chain. Moreover, the paper contains the new challenges and opportunities of electronic freight and warehouse exchanges as complex logistics providers.

Formated Navigation of Mobile Robots with Obstacle Avoidance

This paper presents a formated navigation with obstacle avoidance in which a modified leader-follower technique is combined with reactive collision avoidance behaviors. This paper indicates a couple of problems in which the obstacle avoidance is embedded in formated navigation: one is the singularity of the leader robot on the tracking control and another is the avoidance behavior of the follower robot. This paper proposes techniques for solving them and demonstrates the effectiveness in simulation and experiment

Formated navigation of mobile robots using distributed leader-follower control

Abstract This paper presents a formated navigation based on the leader-follower approach. In this approach, the control law of the follower robot includes the states of the leader robot. This is a drawback for implementing the control laws on real mobile robots. To overcome this drawback, this paper proposes a new followers control law, called the self-made follower input, in which the state of the leader robot is estimated by the relative equation between the leader and the follower robots in the discrete-time domain. On the other hand, a control law of the leader robot is designed with a chained system to track a given reference path. The effectiveness of the proposed techniques is demonstrated in numerical simulation.

Adaptive simulation techniques for modeling material flow systems

This paper summarizes and analyses simulation techniques for material flow systems. The analysis deals with primary the applicability of various simulation methods for the purpose of adaptive simulation models.