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Object manipulation and mannequin driving based on multi-agent architecture

机译:基于多功能架构的物体操纵与人体模型驾驶

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Digital mock-ups, path planners and virtual reality tools are increasingly used within the industrial framework, allowing accessibility and maintainability checks without physical mock-ups. For this, it is necessary to simulate an object moving without collision. Two methods are commonly proposed: automatic path planning approach and direct simulation through robotic or virtual reality tools. In order to use the potential and avoid the drawbacks of these two methods, we settled for a mixed approach using local algorithm abilities and the global view ability of a human operator. To achieve this en-operation, we use a multi-level tree architecture composed by multi-agent "blackboard" systems. The different agents acts to nullify the collisions between the manipulated object and the cluttered environment, attract it towards its target, allow human operator's actions on the path, and provide the mannequin with a coherent behavior. Thanks to our system we manage to perform an accessibility task for object and mannequin with more than 20 degrees of freedom in a cluttered environment.
机译:数字模型,路径规划者和虚拟现实工具越来越多地使用在工业框架内,允许无障碍和可维护性检查没有物理模拟。为此,有必要模拟在没有碰撞的情况下移动的对象。通常提出了两种方法:通过机器人或虚拟现实工具自动路径规划方法和直接仿真。为了利用这些方法的潜力并避免这两种方法的缺点,我们使用本地算法能力和人工操作员的全球视野能力来解决混合方法。为了实现这一语言,我们使用多级代理“黑板”系统组成的多级树架构。不同的代理人为了使人工对象和杂乱环境之间的碰撞无效,吸引它朝向其目标,允许人类运营商对路径的动作,并以相干行为提供人体模型。感谢我们的系统,我们设法为对象和时装模特进行辅助功能任务,在一个杂乱的环境中具有超过20度的自由。

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