Improving the Modularity of AUV Control Systems using Behaviour Trees
November 01, 2018 Β· Declared Dead Β· π IEEE/OES Autonomous Underwater Vehicles
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Authors
Christopher Iliffe Sprague, Γzer Γzkahraman, Andrea Munafo, Rachel Marlow, Alexander Phillips, Petter Γgren
arXiv ID
1811.00426
Category
cs.RO: Robotics
Cross-listed
cs.AI,
eess.SY
Citations
54
Venue
IEEE/OES Autonomous Underwater Vehicles
Last Checked
5 months ago
Abstract
In this paper, we show how behaviour trees (BTs) can be used to design modular, versatile, and robust control architectures for mission-critical systems. In particular, we show this in the context of autonomous underwater vehicles (AUVs). Robustness, in terms of system safety, is important since manual recovery of AUVs is often extremely difficult. Further more, versatility is important to be able to execute many different kinds of missions. Finally, modularity is needed to achieve a combination of robustness and versatility, as the complexity of a versatile systems needs to be encapsulated in modules, in order to create a simple overall structure enabling robustness analysis. The proposed design is illustrated using a typical AUV mission.
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