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Multi-Layered Conceptual Spatial Mapping for Autonomous Mobile Robots

Hendrik Zender; Geert-Jan Kruijff
In: Holger Schultheis; Thomas Barkowsky; Benjamin Kuipers; Bernhard Hommel (Hrsg.). Papers from the AAAI Spring Symposium on Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems. AAAI Spring Symposium (AAAI SSS), March 26-28, Stanford University, CA, USA, Pages 62-66, Papers from the AAAI Spring Symposium, No. SS-07-01, AAAI Press, 3/2007.

Abstract

This paper presents an approach to spatial mapping for autonomous mobile robots that are to operate among, and interact with, non-expert human users. We argue that our approach of conceptual spatial mapping helps bridge the gap between the representations needed for low-level control of the robot, and the conceptual-topological representations of space humans have. Our approach maintains spatial knowledge on multiple interconnected layers. We show that a process for map acquisition, human-augmented mapping, which combines bottom-up and top-down influences from different modalities, will yield a rich multi-layered spatial representation. This representation enables the robot to perform complex actions in a human-populated environment. We show that our approach can be used to establish a notion of situational and functional awareness.

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