Cognitive maps for mobile robots: a representation for mapping and navigation
Cognitive maps for mobile robots: a representation for mapping and navigation
Map learning with uninterpreted sensors and effectors
Artificial Intelligence
Computing a representation of the local environment
Artificial Intelligence
The spatial semantic hierarchy
Artificial Intelligence
Cognitive Maps in Rats and Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Democratic Integration: Self-Organized Integration of Adaptive Cues
Neural Computation
A Split & Merge Approach to Metric-Topological Map-Building
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Initial experiments with a mobile robot on cognitive mapping
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
Spatial information extraction for cognitive mapping with a mobile robot
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
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When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally use more powerful heuristics while lower animals have shown to develop a variety of methods that tend to utilize two key pieces of information, namely distance and orientation information. Their methods differ depending on how they sense their environment. Could a mobile robot be used to investigate the nature of such a process, commonly referred to in the psychological literature as cognitive mapping? What might be computed in the initial explorations and how is the resulting "cognitive map" be used to return home? In this paper, we presented a novel approach using a mobile robot to do cognitive mapping. Our robot computes a "cognitive map" and uses distance and orientation information to find its way home. The process developed provides interesting insights into the nature of cognitive mapping and encourages us to use a mobile robot to do cognitive mapping in the future, as opposed to its popular use in robot mapping.