Task Allocation and Route Planning for Robotic Service Networks in Indoor Building Environments

Mantha, Bharadwaj R. K.; Menassa, Carol C.; Kamat, Vineet R.

doi:10.1061/(asce)cp.1943-5487.0000687

Cited by 15 publications

(1 citation statement)

References 30 publications

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“…Kostic and Scheider [ 34 ] proposed a method for generating accessible space based on a grid model considering the shape of the agent and the wheelchair. Mantha et al [ 35 , 36 ] simplified the navigation network by comparing the dimensions of the building structure and the dimensions of wheelchair agents. Liu and Zlatanova [ 37 ] presented an approach of calculating path for agents with different dimensions to avoid indoor obstacles in the 2D plane.…”

Section: Introductionmentioning

confidence: 99%

Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users’ Dimensions

Zhen

Yang

Kwan

et al. 2020

Sensors

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Most existing indoor navigation methods implicitly treat indoor users as ideal points. However, the ignorance of individual 3D indoor space needs may result in that navigation users do not have enough space or comfortable space to move in a real situation. Therefore, this paper proposes a novel human-oriented navigation approach that considers users’ dimensions and interactions with indoor objects to establish comfortable navigable space. First, object space (O-Space) for users is derived according to their types (i.e., non-disabled people or disabled people) and functional space (F-Space) for indoor objects is determined according to their functions, locations, sizes, and interactions. Then, narrow gaps where users cannot pass through easily are calculated based on indoor obstacles defined by O-Space, the use of F-Space, and stationary objects. Finally, comfortable navigable space is established by excluding inappropriate sealed spaces that wrap indoor obstacles and narrow gaps of the entire indoor space. Two indoor navigation cases were conducted and the results demonstrate that our method could provide comfortable space and user-friendly paths that navigation users can navigate easily without stress. Furthermore, our method also shows great potential for improving user experience during navigation, especially in unfamiliar indoor environments and even emergencies.

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