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Behavior Trees for Robust Task Level Control in Robotic Applications

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arxiv 2301.06434 v1 pith:IR6KEFTK submitted 2023-01-16 cs.RO

classification cs.RO
keywords behaviortreesapplicationsmethodsrobotictaskautomaticallyautonomous
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Behavior Trees are a task switching policy representation that can grant reactiveness and fault tolerance. Moreover, because of their structure and modularity, a variety of methods can be used to generate them automatically. In this short paper we introduce Behavior Trees in the context of robotic applications, with overview of autonomous synthesis methods.

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  1. Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs

    cs.LG 2025-01 conditional novelty 5.0 of 10

    CTWalks combines community-guided temporal walks, community-labeled anonymization, and a Neural ODE encoder to improve temporal link prediction on continuous-time dynamic graphs.

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