Research on AGV trackless guidance technology based on the global vision

Zheng, Zhaolun; Lu, Yao

doi:10.1177/00368504221103766

Cited by 7 publications

(2 citation statements)

References 45 publications

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“…The controller governs all the tasks. Zheng and Lu [21] Navigation System Methods Fuzzy logic plays a crucial role in controlling mobile robots and autonomous guided vehicles. They are most effectively used for imprecise and unreliable data and knowledge based on heuristics.…”

Section: Vision Basedmentioning

confidence: 99%

Navigation Techniques and Algorithms for Mobile Robots and Automated Guided Vehicles

Wajda

2024

JRS

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Mobile robots are self-contained devices that can navigate and move around their surroundings. They observe their environment and create maps using different sensors such as lidar, Global Positioning System (GPS), and cameras. Automated Guided Vehicles (AGVs) are vehicles that can move independently utilizing different approaches such as underground cables, laser scanners, or GPS systems. This research investigates several navigation methodologies and algorithms used in AGVs and mobile robots. It focusses on the advantages of integrating lidar technology with other sensors as well as how it is used in local navigation techniques. We look at two motion planning techniques for obstacle avoidance: the Artificial Potential Field (APF) approach and the Vector Field Histogram (VFH) algorithm. Two effective techniques for finding the best routes are discussed: the A* algorithm and Dijkstra's algorithm. The various AGV types and their navigation systems (such as wired, guide, laser, vision-based, and gyro-based) are also examined in the study. Neural networks and fuzzy logic are investigated as AGV control techniques, with line following and obstacle avoidance as examples of their use. The study emphasizes how crucial precise and dependable navigation systems are to the effective and secure operation of mobile robots and AGVs.

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Section: Vision Basedmentioning

confidence: 99%

Navigation Techniques and Algorithms for Mobile Robots and Automated Guided Vehicles

Wajda

2024

JRS

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“…Bai et al [77] proposed an improved A* algorithm-based motion planning and tracking control strategy based on model predictive control in order to solve problem and tracking control for autonomous vehicle. Latest, Zheng and Lu [78] done research on AGV trackless guidance technology utilizing a camera vision. The A* algorithm was used intelligently plan the driving path.…”

Section: ) A-starmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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Automated Guided Vehicle (AGV) have received a lot of attention in recent years in terms of both hardware and software research. Nowadays, the AGV offer more adaptable and effective industrial and transportation system solutions. An AGV navigation techniques is essential to its operation. The decision to use AGV navigation is not simple, though to be suite to the application and sufficient. This paper survey the navigation approaches applied in AGV in the past five years of published academic research. In doing so, this work responds to three related questions: (1) is the AGV classical navigation techniques still relevant to the current application area; (2) is the heuristic navigation techniques itself able to optimize AGV movement in term of guide and strategy; (3) is the use of Artificial Intelligence (AI) in AGV navigation techniques able to increase system performance. As a result, numerous techniques for the AGV navigation have been developed globally. On the other hand, the most popular navigation approaches are provided below for more research.

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