Quadrangular Mesh Generation Using Centroidal Voronoi Tessellation on Voxelized Surface

Soni, Ashutosh; Bhowmick, Partha

doi:10.1007/978-3-030-05288-1_8

Cited by 2 publications

(2 citation statements)

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“…Some researchers introduce more metrics to the existing algorithms to improve the mesh quality [30,31]. Soni et al [32] propose an efficient algorithm by applying centroidal voronoi tessellation on the voxelized Surface. Altenhofen et al [33] model 3D objects using a volumetric subdivision representation to encode the volumetric information in the design mesh making the mesh generation process much faster.…”

Section: Prior Workmentioning

confidence: 99%

Automatic generation of global shell-element meshes for large-scale structural design optimization

Hwang

2020

Aiaa Aviation 2020 Forum

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Section: Prior Workmentioning

confidence: 99%

Automatic generation of global shell-element meshes for large-scale structural design optimization

Hwang

2020

Aiaa Aviation 2020 Forum

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“…Centroidal Voronoi Tessellation (CVT) is a method of partitioning 2D or 3D space and is mainly used in the areas of resource allocation [ 33 ], facility location [ 34 ], image segmentation [ 35 ], etc. Soni and Bhowmick [ 36 ] used the CVT approach to generate quadrangular mesh on smooth surface modeling. It can partition the plane into several polygonal regions like cell arrangement, which is suitable for solving the partitioning problem of irregular environmental area.…”

Section: Introductionmentioning

confidence: 99%

CVT-Based Asynchronous BCI for Brain-Controlled Robot Navigation

Wei

Zhang

et al. 2023

Cyborg Bionic Syst

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Brain–computer interface (BCI) is a typical direction of integration of human intelligence and robot intelligence. Shared control is an essential form of combining human and robot agents in a common task, but still faces a lack of freedom for the human agent. This paper proposes a Centroidal Voronoi Tessellation (CVT)-based road segmentation approach for brain-controlled robot navigation by means of asynchronous BCI. An electromyogram-based asynchronous mechanism is introduced into the BCI system for self-paced control. A novel CVT-based road segmentation method is provided to generate optional navigation goals in the road area for arbitrary goal selection. An event-related potential of the BCI is designed for target selection to communicate with the robot. The robot has an autonomous navigation function to reach the human selected goals. A comparison experiment in the single-step control pattern is executed to verify the effectiveness of the CVT-based asynchronous (CVT-A) BCI system. Eight subjects participated in the experiment, and they were instructed to control the robot to navigate toward a destination with obstacle avoidance tasks. The results show that the CVT-A BCI system can shorten the task duration, decrease the command times, and optimize navigation path, compared with the single-step pattern. Moreover, this shared control mechanism of the CVT-A BCI system contributes to the promotion of human and robot agent integration control in unstructured environments.

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Quadrangular Mesh Generation Using Centroidal Voronoi Tessellation on Voxelized Surface

Cited by 2 publications

References 32 publications

Automatic generation of global shell-element meshes for large-scale structural design optimization

Automatic generation of global shell-element meshes for large-scale structural design optimization

CVT-Based Asynchronous BCI for Brain-Controlled Robot Navigation

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