EmbodimentSemantic is a spatial scene-graph dataset and benchmark for evaluating relational grounding in vision-language models on embodied manipulation trajectories.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Framework integrating nonlinear opinion dynamics with nonholonomic vehicle kinematics for adaptive safe motion control under interaction uncertainty.
citing papers explorer
-
EmbodimentSemantic: A Spatial Scene-Graph Dataset and Benchmark for Vision-Language Models on Embodied Manipulation Trajectories
EmbodimentSemantic is a spatial scene-graph dataset and benchmark for evaluating relational grounding in vision-language models on embodied manipulation trajectories.
-
Embodied Opinion Dynamics for Safety-Critical Motion Control in Dynamic Environments
Framework integrating nonlinear opinion dynamics with nonholonomic vehicle kinematics for adaptive safe motion control under interaction uncertainty.