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Hierarchic interactive path planning in virtual reality

机译:虚拟现实中的分层交互式路径规划

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摘要

To save time and money while designing new products, industry needs tools to design, test and validate the product using virtual prototypes. These vir- tual prototypes must enable to test the product at all Product Life-cycle Management (PLM) stages. Many operations in PLM involve human manipulation of product com- ponents in cluttered environment (product assembly, disassembly or maintenance). Virtual Reality (VR) enables real operators to perform these tests with virtual proto- types. This work introduces a novel path planning architecture allowing collaboration between a VR user and an automatic path planning system. It is based on an origi- nal environment model including semantic, topological and geometric information, and an automatic path planning process split in two phases: coarse (semantic and topological information) and fine (semantic and geometric information) planning. The collaboration between VR user and automatic path planner is made of 3 main aspects. First, the VR user is guided along a pre-computed path through a haptic device whereas he VR user can go away from the proposed path to explore possible better ways. Second the authority of automatic planning system is balanced to let the user free to explore alternatives (geometric layer). Third the intents of VR user are predicted (on topological layer) to be integrated in the re-planning process. Exper- iments are provided to illustrate the multi-layer representation of the environment, the path planning process, the control sharing and the intent prediction.
机译:为了节省设计新产品时的时间和金钱,行业需要使用虚拟原型来设计,测试和验证产品的工具。这些虚拟原型必须能够在所有产品生命周期管理(PLM)阶段对产品进行测试。 PLM中的许多操作都需要在混乱的环境中对产品组件进行人工操作(产品组装,拆卸或维护)。虚拟现实(VR)使真正的操作员能够使用虚拟原型执行这些测试。这项工作介绍了一种新颖的路径规划架构,允许VR用户和自动路径规划系统之间进行协作。它基于原始环境模型,包括语义,拓扑和几何信息,以及自动路径规划过程,该过程分为两个阶段:粗略(语义和拓扑信息)规划和精细(语义和几何信息)规划。 VR用户与自动路径规划器之间的协作主要包括三个方面。首先,引导VR用户沿着预先计算的路径通过触觉设备,而他的VR用户可以远离建议的路径来探索可能的更好方法。其次,平衡自动计划系统的权限,以使用户可以自由地探索替代方案(几何层)。第三,预测(在拓扑层上)VR用户的意图将被整合到重新规划过程中。提供了实验以说明环境的多层表示,路径规划过程,控件共享和意图预测。

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