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Found 3 papers, 1 papers with code
Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-box Optimization
By using models that can compute the similarity between images and texts continuously over time, we can capture the state changes of food while cooking.
Real-World Robot Applications of Foundation Models: A Review
This paper provides an overview of the practical application of foundation models in real-world robotics, with a primary emphasis on the replacement of specific components within existing robot systems.
Vision-Language Interpreter for Robot Task Planning
By generating PDs from language instruction and scene observation, we can drive symbolic planners in a language-guided framework.
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