Paper
26 August 1999 Mobile robot group coordination using a model of interaction dynamics
Dani Goldberg, Maja J. Mataric
Author Affiliations +
Abstract
We show how various levels of coordinated behavior may be achieved in a group of mobile robots by using a model of the interaction dynamics between a robot and the environment. We present augmented Markov models (AMMs) as a tool for capturing such interaction dynamics on-line an in real-time, with little computational and storage overhead. We briefly describe the structure of AMMs, then demonstrate the application of the model for resolving group coordination issues arising from three sources: individual performance, group affiliation, and group performance. Corresponding respectively to these are the three experimental examples we present - fault detection, group membership based on ability and experience, and dynamic leader selection.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dani Goldberg and Maja J. Mataric "Mobile robot group coordination using a model of interaction dynamics", Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); https://doi.org/10.1117/12.360357
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Mobile robots

Robotics

Sensors

Actuators

Infrared sensors

Space robots

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