Path-planning of automated guided vehicle based on improved Dijkstra algorithm

Guo, Qing; Zhang, Zheng; Xu, Yue

doi:10.1109/ccdc.2017.7978471

Cited by 91 publications

(48 citation statements)

References 2 publications

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“…As the ability to perform self-localization and navigating are of crucial importance for several industrial robots, path planning is currently a research challenge in the manufacturing domain [ 51 , 55 , 56 ], and different algorithms are being studied to resolve this issue, such as Bellman–Ford [ 63 ], Dijkstra [ 64 ], and Floyd Warshall [ 65 ] algorithms. Furthermore, industrial manipulators provided with visual guidance can further enhance path planning systems, as a vision-based approach gives more awareness to detect and avoid obstacles [ 50 , 58 ].…”

Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

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With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic systems are closely cooperating, reshaping their relations and managing to develop new-generation devices. Such disruptive technology corresponds to the backbone of the so-called Industry 4.0. The integration of robotic agents and IoT leads to the concept of the Internet of Robotic Things, in which innovation in digital systems is drawing new possibilities in both industrial and research fields, covering several domains such as manufacturing, agriculture, health, surveillance, and education, to name but a few. In this manuscript, the state-of-the-art of IoRT applications is outlined, aiming to mark their impact on several research fields, and focusing on the main open challenges of the integration of robotic technologies into smart spaces. IoRT technologies and applications are also discussed to underline their influence in everyday life, inducing the need for more research into remote and automated applications.

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Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

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show abstract

“…In this method, the following procedure, which is illustrated in Figure , should be followed: Step 1: Starting from the SB, find the shortest path (with lowest impedance) to a nearest generator (from step 1). To this purpose, Dijkstra algorithm may be used Step 2: Calculate the impedance of the shortest path found in step 1.…”

Section: Improved Lsz Indicatorsmentioning

confidence: 99%

A comprehensive assessment to propose an improved line stability index

Yari

Khoshkhoo

2019

Int Trans Electr Energ Syst

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Summary So far, several line stability indices have been introduced and used for evaluating voltage stability status of power systems. The objective of this paper is to propose a comprehensive assessment of these indices and also to propose a modified line stability index to accurately assess the stability status of networks in different situations. To this purpose, the performance of several line indices at different conditions is analyzed. Also, to categorize system states to normal, alert, and emergency, proper thresholds are proposed for these indices. It will be shown that although line indices are able to properly assess the stability of a two‐bus system, they cannot detect the stability status in real networks. Therefore, a modified index has been proposed, which can accurately assess the stability status of power systems. The static and dynamic simulation results performed in the Institute of Electrical and Electronics Engineer (IEEE) 39‐ and 118‐bus test systems verify the performance of the proposed index.

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“…Human-machine interactive navigation refers to the process through which machines and operator cooperate with each other to control the movement of devices and realize interactive navigation [1]. This type of navigation has been widely used in indoor service robots [2,3], self-driving cars [4,5], automatic guided vehicles (AGV) [6,7], and so on [8,9]. Among them, the most important part between the operator and machines is the map.…”

Section: Introductionmentioning

confidence: 99%

Topological Map Construction Based on Region Dynamic Growing and Map Representation Method

et al. 2019

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In the human–machine interactive scene of the service robot, obstacle information and destination information are both required, and both kinds of information need to be saved and used at the same time. In order to solve this problem, this paper proposes a topological map construction pipeline based on regional dynamic growth and a map representation method based on the conical space model. Based on the metric map, the construction pipeline can initialize the region growth point on the trajectory of the mobile robot. Next, the topological region is divided by the region dynamic growth algorithm, the map structure is simplified by the minimum spanning tree, and the similar region is merged by the region merging algorithm. After that, the parameter TM (topological information in the map) and the parameter OM (occupied information in the map) are used to represent the topological information and the occupied information. Finally, a topological map represented by the colored picture is saved by converting to color information. It is highlighted that the topological map construction pipeline is not limited by the structure of the environment, and can be automatically adjusted according to the actual environment structure. What’s more, the topological map representation method can save two kinds of map information at the same time, which simplifies the map representation structure. The experimental results show that the map construction method is flexible, and that resources such as calculation and storage are less consumed. The map representation method is convenient to use and improves the efficiency of the map in preservation.

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Path-planning of automated guided vehicle based on improved Dijkstra algorithm

Cited by 91 publications

References 2 publications

Internet of Robotic Things in Smart Domains: Applications and Challenges

Internet of Robotic Things in Smart Domains: Applications and Challenges

A comprehensive assessment to propose an improved line stability index

Topological Map Construction Based on Region Dynamic Growing and Map Representation Method

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