BehaVerify: Verifying Temporal Logic Specifications for Behavior Trees
August 10, 2022 Β· Declared Dead Β· π IEEE International Conference on Software Engineering and Formal Methods
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Authors
Serena S. Serbinowska, Taylor T. Johnson
arXiv ID
2208.05360
Category
cs.RO: Robotics
Citations
8
Venue
IEEE International Conference on Software Engineering and Formal Methods
Last Checked
3 months ago
Abstract
Behavior Trees, which originated in video games as a method for controlling NPCs but have since gained traction within the robotics community, are a framework for describing the execution of a task. BehaVerify is a tool that creates a nuXmv model from a py_tree. For composite nodes, which are standardized, this process is automatic and requires no additional user input. A wide variety of leaf nodes are automatically supported and require no additional user input, but customized leaf nodes will require additional user input to be correctly modeled. BehaVerify can provide a template to make this easier. BehaVerify is able to create a nuXmv model with over 100 nodes and nuXmv was able to verify various non-trivial LTL properties on this model, both directly and via counterexample. The model in question features parallel nodes, selector, and sequence nodes. A comparison with models based on BTCompiler indicates that the models created by BehaVerify perform better.
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