Path planning for automatic guided vehicle with multiple target points in dynamic environment

Kim, Chang Kyu; Nguyen, Huy Hung; Kim, Dae Hwan; Kim, Hak Kyeong

doi:10.1051/matecconf/201815902029

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…However, if the focus remains on the WBS, project risks can be more efficiently managed, as many authors have also noted [10,55,56,182]. Risk information can be relatively easily managed in BIM environments [183].…”

Section: Discussionmentioning

confidence: 99%

Integration of Cost and Work Breakdown Structures in the Management of Construction Projects

et al. 2020

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Scope management allows project managers to react when a project underperforms regarding schedule, budget, and/or quality at the execution stage. Scope management can also minimize project changes and budget omissions, as well as improve the accuracy of project cost estimates and risk responses. For scope management to be effective, though, it needs to rely on a robust work breakdown structure (WBS). A robust WBS hierarchically and faithfully reflects all project tasks and work packages so that projects are easier to manage. If done properly, the WBS also allows meeting the project objectives while delivering the project on time, on budget, and with the required quality. This paper analyzes whether the integration of a cost breakdown structure (CBS) can lead to the generation of more robust WBSs in construction projects. Over the last years, some international organizations have standardized and harmonized different cost classification systems (e.g., ISO 12006-2, ISO 81346-12, OmniClass, CoClass, UniClass). These cost databases have also been introduced into building information modeling (BIM) frameworks. We hypothesize that in BIM environments, if these CBSs are used to generate the project WBS, several advantages are gained such as sharper project definition. This enhanced project definition reduces project contradictions at both planning and execution stages, anticipates potential schedule and budget deviations, improves resource allocation, and overall it allows a better response to potential project risks. The hypothesis that the use of CBSs can generate more robust WBSs is tested by the response analysis of a questionnaire survey distributed among construction practitioners and project managers. By means of structural equation modeling (SEM), the correlation (agreement) and perception differences between two 250-respondent subsamples (technical project staff vs. project management staff) are also discussed. Results of this research support the use of CBSs by construction professionals as a basis to generate WBSs for enhanced project management (PM).

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Section: Discussionmentioning

confidence: 99%

Integration of Cost and Work Breakdown Structures in the Management of Construction Projects

et al. 2020

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“…First, the cost of each edge connecting the current node to its neighboring nodes is calculated to determine the shortest path from the starting node to the target node. If an obstacle is encountered, the most cost-effective route is recalculated, and a revised list of nodes is created [37]. At the end of the node-finding process, we have a sequence of cell indexes that begin from the current cell and terminate at the target cell.…”

Section: ) Determining Nodes (Active Phase)mentioning

confidence: 99%

A Hybrid AI-Based Adaptive Path Planning for Intelligent Robot Arms

Abdi,

Park

2023

IEEE Access

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Intelligent robot arms are advanced robotic systems used in Industry 4.0 to perform complex tasks. Unlike conventional robot arms, which perform predefined tasks, intelligent robot arms have autonomy and can operate in changing environments, interact with other machines, and collaborate with humans. In this regard, adaptive path planning is crucial for intelligent robot arms, involving real-time environment monitoring and path generation to continuously update the robot's trajectory based on changes in the surroundings. This paper presents an adaptive path planning method for intelligent robot arms to be used in dynamic environments. The proposed method is based on a hybrid active-passive approach and has been tested in a dynamic workspace simulation environment. The results indicate the ability of the proposed method to respond dynamically in a complex scenario where the target is fluctuating, and an obstacle is intentionally placed in the robot's path. Additionally, real-time analysis results show that the method can be categorized as real-time path planning with less than 100 ms reaction time for grid sizes with less than 96×96×96 cells. This insight presents opportunities for the establishment of smart factories, smart homes, and smart cities, where the presence of intelligent robot arms in dynamic environments becomes essential.INDEX TERMS Adaptive path planning, target reaching, obstacle avoidance, dynamic environment, intelligent robot arm.

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Path planning for automatic guided vehicle with multiple target points in dynamic environment

Cited by 2 publications

References 8 publications

Integration of Cost and Work Breakdown Structures in the Management of Construction Projects

Integration of Cost and Work Breakdown Structures in the Management of Construction Projects

A Hybrid AI-Based Adaptive Path Planning for Intelligent Robot Arms

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