5 papers
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration
Haotian Li, Yida Wang, Leyuan Wang +7
In recent years, multimodal large language models (MLLMs) have shown strong potential for embodied intelligence, yet their ability to maintain geometrically consistent spatial unde…
Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends
Jinshan Lai, Jianwei Hu, Baoyang Jiang +7
Embodied intelligence now spans navigation, household assistance, manipulation, autonomous driving, aerial agents, and multimodal large-model control. This expansion has made bench…
Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction
Baoyang Jiang, Fengchun Zhang, Leyuan Wang +7
Benchmarks are essential for evaluating embodied spatial intelligence, yet their construction is labor-intensive, hard to reuse, and difficult to maintain. Existing embodied benchm…
Exploring and Complementing End Users' Requirements in IoT enabled System
Haotian Li, Xiaohong Chen, Zhi Jin +4
End users create IoT automation rules via trigger action programming, but their expressions are often fragmented, capturing device operations rather than high level intents. This g…
Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery
Yifang Wang, Rui Sheng, Erzhuo Shao +4
Large language models (LLMs) are transforming scientific workflows, not only through their generative capabilities but also through their emerging ability to use tools, reason abou…