Lightweight Collision Detection Algorithm in Web3D Robot Simulation Platform

被引：1

作者：

Wang, Weiqiang ^{[1
]}

Zhao, Hantao ^{[2
,3
]}

Jia, Jinyuan ^{[1
]}

机构：

[1] Tongji Univ, Sch Software Engn, Smart Web3D Media Lab, Shanghai, Peoples R China

[2] Southeast Univ, Sch Cyber Sci & Engn, Dhaka, Bangladesh

[3] Purple Mt Labs, Nanjing, Peoples R China

来源：

2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022) | 2022年

关键词：

Collision detection; M-BVH; Web3D robot simulation platform; Human-centered computing; Visualization; Visualization design and evaluation methods;

D O I：

10.1109/VRW55335.2022.00027

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the field of the robotic industry, traditional robot simulation platforms require users to install specific software and to be equipped with high-performance computers. This paper designs a lightweight collision detection algorithm that is able to run smoothly from a web browser with a novel simulation platform for a humanoid robot. The proposed algorithm is based on the Morton code for bounding volume hierarchies, which uses the triangular patches detection algorithm to improve the accuracy of detection. Through the presented method, we can use the platform to edit the robot on any browser supporting device without installing extra plug-ins.

引用

页码：75 / 80

页数：6

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