The article presents a visualization approach to explore the statuses and behaviors of agents within Large Language Model-based Autonomous Systems (LLMAS). A pipeline is proposed that forms a behavior structure…
Continue readingThe study presents a framework for hybrid teams comprising of humans and autonomous systems, or agents. The authors propose an AI manager, equipped with Reinforcement Learning, to monitor the team…
Continue readingThis academic article focuses on the development of neural network controllers for autonomous systems with unknown and stochastic dynamics. The authors propose a new approach to check and compute a…
Continue readingThis paper discusses the importance of safety in autonomous systems, particularly in human-robot interactions. It introduces the Multimodal Safe Set Algorithm (MMSSA) which deals with multimodal uncertainty, a situation where…
Continue readingThe paper discusses the design and challenge of constantly informing systems (CIS) that provide information over a long period of time. The authors propose a game theoretic approach to enhance…
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