Print Email Facebook Twitter Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics Title Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics Author Pezzato, C. (TU Delft Robot Dynamics) Hernández, Carlos (TU Delft Robot Dynamics) Bonhof, S.D. (TU Delft Robot Dynamics) Wisse, M. (TU Delft Robot Dynamics) Date 2023 Abstract In this article, we propose a hybrid combination of active inference and behavior trees (BTs) for reactive action planning and execution in dynamic environments, showing how robotic tasks can be formulated as a free-energy minimization problem. The proposed approach allows handling partially observable initial states and improves the robustness of classical BTs against unexpected contingencies while at the same time reducing the number of nodes in a tree. In this work, we specify the nominal behavior offline, through BTs. However, in contrast to previous approaches, we introduce a new type of leaf node to specify the desired state to be achieved rather than an action to execute. The decision of which action to execute to reach the desired state is performed online through active inference. This results in continual online planning and hierarchical deliberation. By doing so, an agent can follow a predefined offline plan while still keeping the ability to locally adapt and take autonomous decisions at runtime, respecting safety constraints. We provide proof of convergence and robustness analysis, and we validate our method in two different mobile manipulators performing similar tasks, both in a simulated and real retail environment. The results showed improved runtime adaptability with a fraction of the hand-coded nodes compared to classical BTs. Subject Active inferencebehavior trees (BT)biologically inspired robotsfree-energy principlemobile manipulatorsreactive action planning To reference this document use: http://resolver.tudelft.nl/uuid:9f4b4607-c99f-40c0-b673-8bf50558317d DOI https://doi.org/10.1109/TRO.2022.3226144 Embargo date 2023-07-02 ISSN 1552-3098 Source IEEE Transactions on Robotics, 39 (2), 1050-1069 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 C. Pezzato, Carlos Hernández, S.D. Bonhof, M. Wisse Files PDF Active_Inference_and_Beha ... botics.pdf 2.61 MB Close viewer /islandora/object/uuid:9f4b4607-c99f-40c0-b673-8bf50558317d/datastream/OBJ/view