Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors

Traditional manual concrete vibration work faces numerous limitations, necessitating the need for efficient automated methods to support this task. This study proposes a path safety optimization method based on safe flight corridors and Euclidean signed distance fields, which is suitable for flexibl...

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Main Authors: Lei Li, Lingjie Kong, Chong Liu, Hong Wang, Mingyang Wang, Dongxu Pan, Jiasheng Tan, Wanji Yan, Yiang Sun
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/6/1765
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author Lei Li
Lingjie Kong
Chong Liu
Hong Wang
Mingyang Wang
Dongxu Pan
Jiasheng Tan
Wanji Yan
Yiang Sun
author_facet Lei Li
Lingjie Kong
Chong Liu
Hong Wang
Mingyang Wang
Dongxu Pan
Jiasheng Tan
Wanji Yan
Yiang Sun
author_sort Lei Li
collection DOAJ
description Traditional manual concrete vibration work faces numerous limitations, necessitating the need for efficient automated methods to support this task. This study proposes a path safety optimization method based on safe flight corridors and Euclidean signed distance fields, which is suitable for flexible autonomous movement of vibrating robots between various vibration points. By utilizing a vector method to generate safe flight corridors and optimizing the path with Euclidean signed distance fields, the proposed method reduces the runtime by 80% compared to the original safe flight corridor method and enhances safety by 50%. On embedded systems, the runtime is less than 10 ms. This study is the first to apply the combination of safe flight corridors and Euclidean distance fields for autonomous navigation in concrete vibration tasks, optimizing the original path into a smooth trajectory that stays clear of obstacles. Actual tests of the vibrating robot showed that, compared to traditional methods, the algorithm allows the robot to safely avoid fixed obstacles and moving workers, increasing the execution efficiency of vibration tasks by 60%. Additionally, on-site experiments conducted at three construction sites demonstrated the robustness of the proposed method. The findings of this study advance the automation of concrete vibration work and hold significant implications for the fields of robotics and civil engineering.
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spelling doaj-art-951a7f2fc11f4f4a8bef43dee9a2d90e2025-08-20T02:43:07ZengMDPI AGSensors1424-82202025-03-01256176510.3390/s25061765Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight CorridorsLei Li0Lingjie Kong1Chong Liu2Hong Wang3Mingyang Wang4Dongxu Pan5Jiasheng Tan6Wanji Yan7Yiang Sun8College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaChina Construction Eighth Engineering Division Corp., Ltd., Shanghai 200112, ChinaCollege of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaCollege of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaCollege of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaChina Construction Eighth Engineering Division Corp., Ltd., Shanghai 200112, ChinaChina Construction Eighth Engineering Division Corp., Ltd., Shanghai 200112, ChinaCollege of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaCollege of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaTraditional manual concrete vibration work faces numerous limitations, necessitating the need for efficient automated methods to support this task. This study proposes a path safety optimization method based on safe flight corridors and Euclidean signed distance fields, which is suitable for flexible autonomous movement of vibrating robots between various vibration points. By utilizing a vector method to generate safe flight corridors and optimizing the path with Euclidean signed distance fields, the proposed method reduces the runtime by 80% compared to the original safe flight corridor method and enhances safety by 50%. On embedded systems, the runtime is less than 10 ms. This study is the first to apply the combination of safe flight corridors and Euclidean distance fields for autonomous navigation in concrete vibration tasks, optimizing the original path into a smooth trajectory that stays clear of obstacles. Actual tests of the vibrating robot showed that, compared to traditional methods, the algorithm allows the robot to safely avoid fixed obstacles and moving workers, increasing the execution efficiency of vibration tasks by 60%. Additionally, on-site experiments conducted at three construction sites demonstrated the robustness of the proposed method. The findings of this study advance the automation of concrete vibration work and hold significant implications for the fields of robotics and civil engineering.https://www.mdpi.com/1424-8220/25/6/1765vibration robotsautonomous navigationsafe flight corridorsESDFmotion palnning
spellingShingle Lei Li
Lingjie Kong
Chong Liu
Hong Wang
Mingyang Wang
Dongxu Pan
Jiasheng Tan
Wanji Yan
Yiang Sun
Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
Sensors
vibration robots
autonomous navigation
safe flight corridors
ESDF
motion palnning
title Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
title_full Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
title_fullStr Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
title_full_unstemmed Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
title_short Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors
title_sort efficient path planning for collision avoidance of construction vibration robots based on euclidean signed distance field and vector safety flight corridors
topic vibration robots
autonomous navigation
safe flight corridors
ESDF
motion palnning
url https://www.mdpi.com/1424-8220/25/6/1765
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