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Combining Control Barrier Functions and Behavior Trees for Multi-Agent Underwater Coverage Missions

Özkahraman, Özer, 1992- (author)
KTH,Robotik, perception och lärande, RPL
Ögren, Petter, 1974- (author)
KTH,Robotik, perception och lärande, RPL
 (creator_code:org_t)
2020
2020
English.
In: Proceedings of 59th Conference on Decision and Control, 2020.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Robot missions typically involve a number of desired objectives, such as avoiding collisions, staying connected to other robots, gathering information using sensors and returning to the charging station before the battery runs out.Some of these objectives need to be taken into account at the same time, such as avoiding collisions and staying connected, while others are focused upon during different parts of the executions, such as returning to the charging station and connectivity maintenance.In this paper, we show how Control Barrier Functions(CBFs) and Behavior Trees(BTs) can be combined in a principled manner to achieve both types of task compositions, with performance guarantees in terms of mission completion. We illustrate our method with a simulated underwater coverage mission.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Keyword

Autonomous Underwater Vehicles
Control Barrier Functions
Behavior Trees

Publication and Content Type

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Royal Institute of Technology

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