Hypothesis Graph Refinement represents frontier predictions as revisable hypothesis nodes and applies verification-driven cascade correction to prune erroneous subgraphs, achieving 72.41% success and 56.22% SPL on GOAT-Bench.
Long-horizon em- bodied planning with implicit logical inference and hallucination mitigation
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This survey organizes large VLM-based VLA models for robotic manipulation into monolithic and hierarchical paradigms, reviews their integrations and datasets, and outlines future directions.
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Hypothesis Graph Refinement: Hypothesis-Driven Exploration with Cascade Error Correction for Embodied Navigation
Hypothesis Graph Refinement represents frontier predictions as revisable hypothesis nodes and applies verification-driven cascade correction to prune erroneous subgraphs, achieving 72.41% success and 56.22% SPL on GOAT-Bench.
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Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey
This survey organizes large VLM-based VLA models for robotic manipulation into monolithic and hierarchical paradigms, reviews their integrations and datasets, and outlines future directions.