VirtualHome2KG: Constructing and Augmenting Knowledge Graphs of Daily Activities Using Virtual Space
PulseAugur coverage of VirtualHome2KG: Constructing and Augmenting Knowledge Graphs of Daily Activities Using Virtual Space — every cluster mentioning VirtualHome2KG: Constructing and Augmenting Knowledge Graphs of Daily Activities Using Virtual Space across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Hugging Face papers detail AI self-improvement and embodied planning
Two new research papers from Hugging Face explore methods for improving AI model performance and adaptability. The first, A-RSI, focuses on self-improvement by dynamically refreshing training tasks based on declining le…
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New framework enhances robotic task planning with LRLMs
Researchers have developed SafeInferCom, a framework designed to improve the reliability and efficiency of robotic task planning using Large Reasoning Language Models (LRLMs). This system acts as an inference-time monit…
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Neurosymbolic agent enhances embodied AI plan executability
Researchers have developed a novel neurosymbolic agent designed to improve the executability of embodied plans generated by language and vision-language models. This agent addresses issues where model outputs might viol…
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New framework SENTINEL formally evaluates safety of AI embodied agents
Researchers have introduced SENTINEL, a novel framework designed to formally evaluate the physical safety of embodied agents powered by foundation models. This framework offers a multi-level safety assessment, covering …
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New models and frameworks advance embodied AI capabilities
Researchers are developing advanced models and frameworks to enable more capable embodied artificial intelligence. One approach, Athena-Brain-8B, is an 8B LLM designed for on-device robot brains, showing strong general …
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LLMs coupled with Answer Set Programming boost robot task planning accuracy
Researchers have developed CLMASP, a novel approach that combines Large Language Models (LLMs) with Answer Set Programming (ASP) to enhance robotic task planning. This method leverages LLMs for initial plan generation a…