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collision-aware interactive simulation using graph neural networks

Visual Computing for Industry,Biomedicine,and Art 2022年第1期5卷 174-186页

作者： Xin Zhu Yinling Qian Qiong Wang Ziliang Feng Pheng‑Ann Heng College of Computer Science Sichuan UniversityChengdu 610065China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Department of Computer Science and Engineering The Chinese University of Hong KongHong KongChina

Deep simulations have gained widespread attention owing to their excellent acceleration performances.However,these methods cannot provide effective collision detection and response strategies.We propose a deep interac-tive physical simulation framework that can effectively address tool-object collisions.The framework can predict the dynamic information by considering the collision state.In particular,the graph neural network is chosen as the base model,and a collision-aware recursive regression module is introduced to update the network parameters recursively using interpenetration distances calculated from the vertex-face and edge-edge tests.Additionally,a novel self-supervised collision term is introduced to provide a more compact collision response.This study extensively evaluates the proposed method and shows that it effectively reduces interpenetration artifacts while ensuring high simulation efficiency.

关键词： Deep physical simulation collision-aware continuous collision detection Graph neural network

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GPU Accelerated Real-Time collision Handling in Virtual Disassembly

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Journal of Computer Science & Technology 2015年第3期30卷 511-518页

作者：杜鹏赵杰伊潘万彬王毅刚 School of Media & Design Hangzhou Dianzi University Hangzhou 310018 China College of Computer Science and Technology Zhejiang University Hangzhou 310027 China

Previous collision detection methods for virtual disassembly mainly detect collisions at discrete time intervals and use oriented bounding boxes to speed up the process. However, these discrete methods cannot guarantee no penetration occurs when the components move. Meanwhile, because some of the components are embedded into each other, these components cannot be separated in the subsequent process. To solve these problems, we propose an approach for real-time collision handling by utilizing the computational power of modern GPUs. First we present a novel GPU-based collision handling framework for virtual disassembly. Second we use a collision-streams based continuous collision detection to guarantee no collision missed. Finally we introduce a triangle intersection detection algorithm to solve the problem that collision cannot be detected when the components are embedded into each other at the initial configuration. The experimental results show that our method can improve the overall performance of collision detection and achieve real-time simulation.

关键词： GPU-based virtual disassembly continuous collision detection discrete collision detection collision handling

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