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gazebo机器人仿真项目在gazebo-7.14原有架构基础采用基于异步机制的事件调度与消息管理,OpenMp、Tbb、MPI等并行加速技术优化重构的大型3D室外高保真实时仿真平台,可以支撑实现群体智能机器人协同仿真。该项目采用完全代码开源的形式,面向大规模无人群体大型三维仿真场景,可以快速和有效地测试新概念、新策略和新算法,为实物机器人部署和演练提供指导,规避和减少因方法不成熟而带来的不必要的损失。核心开发人员5人,均为计算机相关专业硕士及以上学历,其中3人博士学历,长期从事计算机仿真、高性能并行计算相关方向。

CMake 1.44% Python 2.33% C++ 72.67% M 0.01% C 12.53% MATLAB 0.02% Shell 5.25% Batchfile 0.03% M4 0.19% Objective-C 0.08% Makefile 3.00% Cuda 0.04% Roff 1.51% CSS 0.06% HTML 0.22% JavaScript 0.12% QMake 0.01% GLSL 0.43% HLSL 0.07% Jupyter Notebook 0.02%

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