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State of Vision-Language-Action | Report | ScienceToStartup
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Vision-Language-Action
State of Vision-Language-Action
6 papers · avg viability 6.3
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Embodied AI
Fast-ThinkAct
Top papers
DepthCache: Depth-Guided Training-Free Visual Token Merging for Vision-Language-Action Model Inference
(8.0)
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
(7.0)
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
(7.0)
ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
(7.0)
KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition
(6.0)
Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models
(3.0)
