Development of multi-sensor information fusion and AGV navigation system

Zhou, Shengguo; Cheng, Guanghe; Meng, Qingguo; Lin, Haoyue; Du, Zhiwei; Wang, Fucai

doi:10.1109/itnec48623.2020.9084687

Cited by 20 publications

(8 citation statements)

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“…After information processing on the level of a computation platform, the system can swiftly gather obstacle distance information, successfully avoid the obstacles, and select a new direction and a new path. While Zhou et al [46] highlighted their findings investigation on the multisensor fusion used in the most recent AGV navigation, which is uses laser and inertial guidance.…”

Section: ) Laser Guidedmentioning

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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Section: ) Laser Guidedmentioning

confidence: 99%

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

2023

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“…As a matter of fact, the pre-definition of AGV motion paths guarantees predictability in opposition to the AMRs motions, which are often hard for a human operator to interpret. The perception systems of traditional AGVs [ 31 ] have undergone heavy changes [ 32 , 33 ] to achieve navigation autonomy and advanced perception of the environment and humans in industrial scenarios [ 34 ], favoring the investigation of real-time approaches [ 35 ]. Moreover, due to the gradual and now extensive use of fixed-base collaborative robots along the production line, the implementation of safe collaborative operations using IMRs has been attracting a lot of interest.…”

Section: Robotic Systems and Human-robot Perceptionmentioning

confidence: 99%

Human-Robot Perception in Industrial Environments: A Survey

Bonci

Cheng

Indri

et al. 2021

Sensors

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Perception capability assumes significant importance for human–robot interaction. The forthcoming industrial environments will require a high level of automation to be flexible and adaptive enough to comply with the increasingly faster and low-cost market demands. Autonomous and collaborative robots able to adapt to varying and dynamic conditions of the environment, including the presence of human beings, will have an ever-greater role in this context. However, if the robot is not aware of the human position and intention, a shared workspace between robots and humans may decrease productivity and lead to human safety issues. This paper presents a survey on sensory equipment useful for human detection and action recognition in industrial environments. An overview of different sensors and perception techniques is presented. Various types of robotic systems commonly used in industry, such as fixed-base manipulators, collaborative robots, mobile robots and mobile manipulators, are considered, analyzing the most useful sensors and methods to perceive and react to the presence of human operators in industrial cooperative and collaborative applications. The paper also introduces two proofs of concept, developed by the authors for future collaborative robotic applications that benefit from enhanced capabilities of human perception and interaction. The first one concerns fixed-base collaborative robots, and proposes a solution for human safety in tasks requiring human collision avoidance or moving obstacles detection. The second one proposes a collaborative behavior implementable upon autonomous mobile robots, pursuing assigned tasks within an industrial space shared with human operators.

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“…The standard of determining the edge point is based on this property. The change between the ranges of two consecutive laser beams CP E and CP W is defined as Equation (10).…”

Section: ∠Bca = Arctan Ymentioning

confidence: 99%

“…At present, the LiDAR positioning systems are usually based on artificial landmarks and natural features. LiDAR positioning systems based on artificial landmarks rely on reflectors with high reflection intensity and the three-point positioning method [10]. By matching the reflectors detected at the current position to the ones in the global map stored in advance, the global coordinates of reflectors can be obtained.…”

Section: Introductionmentioning

confidence: 99%

LiDAR Positioning Algorithm Based on ICP and Artificial Landmarks Assistance

Zeng

Kan

Tao

et al. 2021

Sensors

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As one of the automated guided vehicle (AGV) positioning methods, the LiDAR positioning method, based on artificial landmarks, has been widely used in warehousing logistics industries in recent years. However, the traditional LiDAR positioning method based on artificial landmarks mainly depends on the three-point positioning method, the performance of which is limited due to landmarks’ layout and detection requirements. This paper proposes a LiDAR positioning algorithm based on iterative closest point (ICP) and artificial landmarks assistance. It provides improvements based on the traditional ICP algorithm. The result of positioning provided by the landmarks is used as the initial iteration ICP value. The combination of the ICP algorithm and landmarks enables the positioning algorithm to maintain a certain positioning precision when landmark detection is disturbed. By comparing the proposed algorithm with the positioning scheme developed by SICK in Germany, we prove that the combination of the ICP algorithm and landmarks can effectively improve the robustness under the premise of ensuring precision.

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Development of multi-sensor information fusion and AGV navigation system

Cited by 20 publications

References 0 publications

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

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

Human-Robot Perception in Industrial Environments: A Survey

LiDAR Positioning Algorithm Based on ICP and Artificial Landmarks Assistance

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