16/12/2020 – Talk: “Behavior Trees In Action: A Study Of Robotics Applications” By Razan Ghzouli

Razan Ghzouli, a PhD student at Chalmers University of Technology, will give a talk about her work on behavior trees in action: a study of robotics applications. Details below.


Razan Ghzouli, PhD student, Chalmers University of Technology.


Behavior Trees in Action: A Study of Robotics Applications


Autonomous robots combine a variety of skills to form increasingly complex behaviors called missions. While the skills are often programmed at a relatively low level of abstraction, their coordination is architecturally separated and often expressed in higher-level languages or frameworks. Recently, the language of Behavior Trees gained attention among roboticists for this reason. Originally designed for computer games to model autonomous actors, Behavior Trees offer an extensible tree-based representation of missions. However, even though, several implementations of the language are in use, little is known about its usage and scope in the real world. How do behavior trees relate to traditional languages for describing behavior? How are behavior tree concepts used in applications? What are the benefits of using them?

We present a study of the key language concepts in Behavior Trees and their use in real-world robotic applications. We identify behavior tree languages and compare their semantics to the most well-known behavior modeling languages: state and activity diagrams. We mine open source repositories for robotics applications that use the language and analyze this usage. We find that Behavior Trees are a pragmatic language, not fully specified, allowing projects to extend it even for just one model. Behavior trees clearly resemble the models-at-runtime paradigm. We contribute a dataset of real-world behavior models, hoping to inspire the community to use and further develop this language, associated tools, and analysis techniques.

This work has been published in the International Conference on Software Language Engineering (SLE 2020), https://dl.acm.org/doi/10.1145/3426425.3426942.