Modeling and Optimizing the Coverage Performance of the LIDAR Sensor Network

Farzadpour, Farsam; Church, P.; Chen, Xiang

doi:10.1109/aim.2018.8452260

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…The basic idea behind lidar technology is that a laser beam is sent into its environment by a lidar sensor, and when the beam bounces back off an item, the sensor detects the reflection (Farzadpour, 2018;Gast, 2008;Weerasinghe, 2023;Zhang et al, 2022) . The precise distance between the robot and the object can be determined by timing how long it takes the laser beam to travel to it and back to the sensor.…”

Section: Lidar Navigationmentioning

confidence: 99%

Review Paper: Key Points on Robot Navigation and Its Practical Uses in the Field of Manufacturing

Suwoyo,

Andika,

Hidayat

2024

IJEC

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Key aspects are covered in this review article, along with a brief explanation of mobile robot navigation and its uses in the industrial sector. This study emphasizes the significance of robot navigation in enhancing productivity, efficiency, and safety in manufacturing processes by compiling important ideas from the body of research and literature. This study investigates several robot navigation algorithms and strategies, from simple algorithms to sophisticated ones like SLAM (Simultaneous Localization and Mapping). This study also examines particular issues and concerns about the application of robot navigation systems in industrial settings, such as path planning, obstacle avoidance, and worker cooperation. This paper presents some noted applications of robot navigation, such as material handling, assembly, quality control, and logistics, using case studies and examples. The conversation also touches on new developments and prospective paths for robot navigation technology, highlighting the possibility for more innovation and connection with Industry 4.0 projects. All things considered, this review article is an invaluable tool for scholars, practitioners, and business experts who want to comprehend the function of robot navigation in contemporary manufacturing processes and how it will affect industrial automation in the future.

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Section: Lidar Navigationmentioning

confidence: 99%