Scheduling optimization of electric ready mixed concrete vehicles using an improved model-based reinforcement learning

Automation in Construction, Journal Year: 2024, Volume and Issue: 160, P. 105308 - 105308

Published: Feb. 13, 2024

Language: Английский

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Environmental sensing in autonomous construction robots: Applicable technologies and systems

Automation in Construction, Journal Year: 2025, Volume and Issue: 172, P. 106075 - 106075

Published: Feb. 19, 2025

Language: Английский

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Enhanced visual SLAM for construction robots by efficient integration of dynamic object segmentation and scene semantics

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 59, P. 102313 - 102313

Published: Dec. 18, 2023

Language: Английский

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Applicability of smart construction technology: Prioritization and future research directions

Automation in Construction, Journal Year: 2023, Volume and Issue: 153, P. 104953 - 104953

Published: May 30, 2023

Language: Английский

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An unsupervised low-light image enhancement method for improving V-SLAM localization in uneven low-light construction sites

Automation in Construction, Journal Year: 2024, Volume and Issue: 162, P. 105404 - 105404

Published: April 3, 2024

Language: Английский

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Global path planning on uneven terrain at construction sites for robots based on an improved A* Algorithm

Journal of Ambient Intelligence and Smart Environments, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

With the increasing application of construction robots on sites, autonomous path planning in unstructured and uneven sites has become an urgent challenge. Current approaches face several issues, including prolonged computation times, low efficiency, redundant nodes, often resulting impractical paths for robots. Addressing these concerns, this study introduces a global method based enhanced A* algorithm to ensure safe robust navigation such challenging environments. The Improved initially incorporates bidirectional alternating search strategy expedite computational speed. Subsequently, it employs node filtering mitigate issues associated with reduce number critical thereby enhancing efficiency. Furthermore, introduction slope constraints decreases robot's climbing tilting angles, augmenting safety planned paths. Finally, are smoothed using Bézier curve fitting, facilitating better motion control efficacy improved was validated through experiments elevation maps varying terrain obstacle densities. Simulation results indicate that, compared traditional algorithm, reduced time by 71.05% 82.90% nodes 51.94% 70.53%, while only length 14.6% 37.84%. Additionally, there significant reduction have smoother. Therefore, not improves efficiency generating reliable but also enables adapt complex environments, promotes automation intelligent processes.

Language: Английский

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AI-based robots in industrialized building manufacturing

Frontiers of Engineering Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

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How does the collaborative innovation network in construction industry evolve? Evidence from China

Journal of Civil Engineering and Management, Journal Year: 2025, Volume and Issue: 31(2), P. 102 - 117

Published: Feb. 4, 2025

Technology innovation in the construction industry involves collaboration among multiple organizations which formed an intricate collaborative network (CIN). To understand evolution characteristics of structural CIN China’s and to clarify patterns organizations, were analyzed terms overall local by using social analysis (SNA) motif (NMA), respectively based on data projects winning Science Award Construction (CSTAC) 2004–2021. The results indicate that became larger but less connected exhibited scale-free small-world during study period. There is a giant component CIN, gradually increasing size becoming more cohesive. China Academy Building Research had highest degree centrality closeness Tongji University largest betweenness important position CIN. main mode between enterprises, followed enterpriseuniversity, has share. help their inform development co-innovation partners.

Language: Английский

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Indoor visual positioning using stationary semantic distribution registration and building information modeling

Automation in Construction, Journal Year: 2025, Volume and Issue: 172, P. 106033 - 106033

Published: Feb. 8, 2025

Language: Английский

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A Novel Deployment Strategy Based on Improved Gradient‐Based Optimizer for BLE Anchor Nodes

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(1)

Published: Feb. 1, 2025

ABSTRACT Bluetooth low energy (BLE) technology has gained attraction for indoor localization in recent years due to its power consumption and cost‐effectiveness. However, deploying BLE anchor nodes environments, particularly areas with obstacles that can interfere signal strength, remains a major challenge. This paper proposes novel deployment strategy utilizes an improved gradient‐based optimizer (GBO) algorithm address these challenges. The primary objective is improve both the coverage of accuracy localization. To assess effectiveness schemes generated by algorithm, we introduce comprehensive performance evaluation metric. metric integrates multiple indicators, including capability rate, geometric factor, penalty term, sensor network topology, uniformity. An obstacle perception model also introduced mitigate impact deviations between measured values from RSSI ranging obstacle‐rich environments actual ground truth values. adjusts measurements enhance reliability process. presented tested space obstacles. Experimental results demonstrate significantly optimizes node layouts, enhancing coverage, accuracy. Compared existing algorithms, proposed method shows better performances highlights potential more accurate efficient In particular, our research achieved 86% probability positioning errors within 3 m, surpassing best other approximately 11%. approach BLE‐based

Language: Английский

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