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Temporal adaptive Bayesian search-driven embodied task sequence optimization based on 3D dynamic scene graphs
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AI
DOI：10.1016/j.knosys.2026.116093.png)
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Abstract
En 中文
• A framework called Adaptive Bayesian Task Optimization in 3D Scenes. • A temporal adaptive Bayesian search model is introduced for decision-making. • Verification actions are integrated into the large language model optimization. • The 3D scene graph is updated in real-time through task feedback. • The presented framework is evaluated in simulation and real-world environments.
Keywords:
Adaptive Bayesian Search
3D Scene Graph
Task Optimization
Real-time Updates
Embodied AI
Journal
K
IF:
7.6
Papers:
1.2W
Citations:
4.5W
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