Multimodal Integration Processes in Plan-Based Service Robot Control*

IF 5.2 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Dominik Off, Jianwei Zhang
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引用次数: 2

Abstract

Cross-modal integration processes are essential for service robots to reliably perceive relevant parts of the partially known unstructured environment. We demonstrate how multimodal integration on different abstraction levels leads to reasonable behavior that would be difficult to achieve with unimodal approaches. Sensing and acting modalities are composed to multimodal robot skills via a fuzzy multisensor fusion approach. Single modalities constitute basic robot skills that can dynamically be composed to appropriate behavior by symbolic planning. Furthermore, multimodal integration is exploited to answer relevant queries about the partially known environment. All these approaches are successfully implemented and tested on our mobile service robot platform TASER.

基于计划的服务机器人控制中的多模式集成过程
跨模态集成过程对于服务机器人可靠地感知部分已知的非结构化环境的相关部分至关重要。我们展示了不同抽象级别上的多模式集成如何导致合理的行为,而单模式方法很难实现这些行为。通过模糊多传感器融合方法,将感知和动作模态组合成多模态机器人技能。单一模态构成了机器人的基本技能,可以通过符号规划将其动态组合为适当的行为。此外,还利用多模式集成来回答有关部分已知环境的相关查询。所有这些方法都在我们的移动服务机器人平台TASER上成功实现和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.10
自引率
0.00%
发文量
2340
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