We have designed and implemented an application running inside Second Life that supports user annotation of graphical objects and graphical visualization of concept ontologies, thus providing a formal, machine-accessible description of objects. As a result, we offer a platform that combines the graphical knowledge representation that is expected from a MUVE artifact with the semantic structure given by the Resource Framework Description (RDF) representation of information.
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues
German Aerospace Center（德国航空航天中心）；AI Institute in Dynamic Systems, University of Washington（华盛顿大学动态系统人工智能研究所）；European Space Agency（欧洲空间局）
The Belief-Desire-Intention Ontology for modelling mental reality and agency
CNR - Institute of Cognitive Sciences and Technologies（CNR认知科学与技术研究所）；CNR - Institute for Research on Population and Social Policies（CNR人口与社会政策研究所）；CNR - Research Institute on Sustainable Economic Growth（CNR可持续经济增长研究所）；University of Bologna - Department of Philosophy（博洛尼亚大学哲学系）
When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks
Robert Bosch GmbH（罗伯特·博世有限公司）；Institute for Neuro- and Bioinformatics, University of Lübeck（神经与生物医学研究所，吕贝克大学）；Engineering Faculty, DHBW Stuttgart（工程学院，斯图加特DHBW）；Department of Computer Science, University of Freiburg（计算机科学系，弗赖堡大学）
Speech to Reality: On-Demand Production using Natural Language, 3D Generative AI, and Discrete Robotic Assembly
Computer Science and Artificial Intelligence Lab（计算机科学与人工智能实验室）；Massachusetts Institute of Technology（麻省理工学院）；Center for Bits and Atoms（比特与原子中心）；Department of Mechanical Engineering（机械工程系）
