AIROSep 22, 2022

A Capability and Skill Model for Heterogeneous Autonomous Robots

arXiv:2209.10900v216 citationsh-index: 30
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of interoperability and task coordination for teams of heterogeneous autonomous robots, which is incremental as it adapts existing manufacturing concepts.

The paper tackles the lack of a consistent way to describe functions for heterogeneous autonomous robots by applying and extending capability models from manufacturing to this field, presenting a new approach for such a model.

Teams of heterogeneous autonomous robots become increasingly important due to their facilitation of various complex tasks. For such heterogeneous robots, there is currently no consistent way of describing the functions that each robot provides. In the field of manufacturing, capability modeling is considered a promising approach to semantically model functions provided by different machines. This contribution investigates how to apply and extend capability models from manufacturing to the field of autonomous robots and presents an approach for such a capability model.

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