This paper presents a global localization system for an indoor autonomous vehicle equipped with odometry sensors and radio-frequency identification (RFID) reader to interrogate tags located on the ceiling of environment. The RFID can measure phase signals coming from responding tags. has non-univocal dependence distance robot tag, but in considered frequency, it is really sensitive change position robot. For this reason, multihypothesis Kalman filtering approach provides satisfactory...

A global localization system combining odometry data with radio frequency identification (RFID) readings is proposed. RFID tags are placed at the ceiling of environment and can be detected by a mobile robot unit traveling below them. The detection only information used in proposed approach (no distance or bearing to tag considered available), but differently from similar setups reported literature, small number (about one each square meter less) used. This possible using suitable tag's...

This paper proposes a global indoor localization system based on the radio frequency identification (RFID) technology. A reader, installed robot, measures received signal strength indication (RSSI) and phase shift of UHF-RFID signals coming from set passive tags deployed ceiling environment. The position in environment is only roughly known at beginning. Exploiting complementary features RSSI phase-shift information RFID (together with odometry data), multihypothesis extended unscented...

This paper faces the problem of a robot that patrols warehouse and localizes objects on shelves using RFID technology. A two-step localization system has been developed. First, itself by means Kalman-based algorithm fuses odometry with information coming from phase signals few reference tags deployed along shelves. Then, are localized an matches tagged collected specific paths (suitably devised to decouple estimation different tag coordinates) parametric electromagnetic model. numerical...

We consider a Markovian, failure prone, single machine, part-type, fluid flow, manufacturing system. The rate depends on the production through non decreasing, piecewise constant function which may assume two values. problem is to minimize long term average expected cost penalizes both presence of waiting customers and inventory surplus. derive prove optimality policy thresholds. expression these thresholds optimal also included in this note together with some numerical examples.

In this paper, a <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> control technique is proposed for the management of supply chain (SC) model linearized about nominal operating conditions. The performance considered weighted norm comprising inventory and orders placed by each site, hence controlling bullwhip effect together with local costs. It shown how optimization costs at site...

In this paper we propose a contactless system based on the RFID technology to estimate rotation of rotating tagged object. The object is equipped with linearly polarized tag while reader endowed circularly antenna. estimation algorithm exploits dependence phase backscattered signal relative orientation between tag's and reader's antennas. It an Extended Kalman Filter which only uses measurements assumes approximate knowledge maximum expected torque (i.e. acceleration) applied Numerical...

In recent years, deep learning techniques have revolutionized the field of data generation and manipulation, including creation synthetic sensor data.The ability to generate large quantities diverse, high-quality has significant implications in fields such as autonomous driving, robotics, computer vision.Synthetic using involves training a model that closely resembles real-world data.This is achieved by feeding amounts it learn underlying patterns structures data.Once trained, can then new...

The narrow bandwidth of UHF RFID signals does not allow the direct measurement range between reader and tag. A Multi-Hypothesis Extended Kalman Filter is proposed in this paper to solve issue, by fusing phase measurements with odometry readings a mobile robot. While estimating tag-reader distance, approach provides also an on-line estimation bearing knowledge beneficial positioning-based applications as robotics, develop algorithms for reaching grasping tagged object or localize robot using...

Two typical indoor settings are considered, one based on laser range finder readings and the other distances gathered by robot from a set of artificial landmarks (e.g. RFID tags). It is shown, comparing performance Extended Unscented Kalman filters, that only first setting could require definition more specific non linear filtering algorithms, not needed so much in case. In second setting, sensitivity estimation error number has been numerically investigated. Based these results, rule thumb...

This technical note provides the structure of a policy minimizing long term, average, expected, backlog/inventory cost for fluid model, single machine, product manufacturing system subject to failure/repair Markov process, where failure rate is piecewise constant function production rate. generalizes previous results and confirms several conjectures reported in literature, providing an interesting insight into problem.

In this article, we consider an indoor simultaneous localization and mapping (SLAM) problem for a mobile robot measuring the phase of signal backscattered by set passive radio ultra high frequency identification (ID) tags, deployed in unknown position on ceiling environment. The solution approach is based introduction, each (RFID) tag observed, multihypothesis extended Kalman filter (MHEKF) which, measured phases wheel encoder readings, provides estimate range bearing observed with respect...

The positioning of tagged objects by means the phase backscattered RFID signal is a challenging problem. Several approaches have been conceived in years to face problem narrow bandwidth signal, which produces periodic, and hence ambiguous, measurement tag-reader distance. One possible strategy exploit movement either tag or reader collect set measurements allow solve aforementioned ambiguity: this is, e.g., approach pursued SAR (Synthetic Aperture Radar) methods. In article we propose an...

In this note, we consider a fluid flow, single part-type, unreliable machine production system with bounded backlog/inventory space. We prove that, as in the unbounded case, problem of minimizing an infinite horizon average demand loss/backlog/surplus cost is solved by hedging point policy. An implicit equation given, whose structure easily allows to numerically evaluate optimal safety stock. The effect parameters on stock analyzed and some numerical examples illustrate presented results.

In this note, we consider a broad class of dynamic scheduling problems associated with single-server, multiclass, continuous-flow manufacturing system. Using general framework, provide conditions under which the solution to these is implementation production controls called myopic policies. The proof optimality, intuitively appealing, applies more models than existing proofs in literature, typically either use maximum principle or solve Hamilton-Jacobi-Bellman (HJB) equation. We also present...

A global localization problem for a robot combining odometry data with RFID (Radio Frequency IDentification) readings is addressed in this paper. tags are placed on the ceiling of environment and can detect their presence when traveling below them. The detection only information used our approach (no distance or bearing to tag considered available), but differently from similar setups reported literature, small number (about one each m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

A H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> control approach has been developed in this paper for a simple supply chain model, linearized about typical operative conditions, and fed with an exogenous unknown demand. The considered compared other emerging techniques terms of performance index defined on the inventory levels chain, showing good when demand presents significant low frequency components. Robustness issues,...