Work

Orchestrating Complex Behaviors with Behavior Trees

Year: 2024

Type: article

Abstract: Presented at ROSCon Spain 2024, this presentation explores the use of Behavior Trees as a framework for orchestrating complex robotic behaviors, with a focus on enhancing human-AI interaction. It covers methods for designing adaptive, scalable, and modular robotic systems capable of responding dynamically to human input and uncertain environments. Key applications include socially assistive robotics and long-term human-robot collaboration, emphasizing natural interactions and personalized responses. Integration with ROS2 and real-world use cases in dynamic settings are also highlighted.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14205811

Authors: Dal Moro, Devis, Dalmau Moreno, Magí

Institution: EURECAT Centre Tecnològic de Catalunya

Language: English

Topic: AI-based Problem Solving and Planning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: The hyPEr ExpeRt collaborative AI assistant