A Distributed Model for Mobile Robot Environment-Learning and Navigation (1990)
Defense Technical Information Center · leaf 92
network would still be linear, but would require a delay period in order to allow all the possible paths to reach the destination node. Unfortunately, this network topology does not provide a better solution to graph segmentation. The graph gets equally segmented, but the process is moved to the…
Mataric, Maja J · Massachusetts inst of tech cambridge artificial intelligence lab · Omnidirectional · Autonomous navigation · Robots · Detectors · Models · Real time · Distribution · Dynamics · Layers · Physical properties · Graphs · Paths · Theses · Reactivities · Nodes · Ultrasonics · Planning · Mobile · Barriers · Low level · Language · Maps · Power · Behavior · Architecture · Learning · Navigation reference · Detection · Environments · Methodology · Experimental data
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