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Entities25 of 207,987
- large language modeltechnology1,042 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct191 mentions
- AI agenttechnology188 mentions
- Anthropicorganization177 mentions
- ChatGPTproduct177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
vision-language-action model
technology350 mentionslast seen Nov 12, 2026
Recent models that employ diffusion or flow-matching backbones with hundreds of millions of parameters for action generation.
Relationships 50+
- vision-language-action modelapplies torobotic manipulation99% confidence28 sources
- vision-language-action modeldepends onVision-Language Model99% confidence14 sources
- vision-language-action modelapplies torobot manipulation99% confidence10 sources
- vision-language-action modelapplies torobot control99% confidence6 sources
- vision-language-action modelcomposed ofVision-Language Model99% confidence3 sources
- vision-language-action modeldepends onflow matching99% confidence3 sources
- vision-language-action modeldepends onTransformer99% confidence3 sources
- vision-language-action modelapplies torobot learning99% confidence3 sources
- vision-language-action modelapplies torobotic control99% confidence3 sources
- vision-language-action modeldepends onaction tokenization99% confidence3 sources
- vision-language-action modeldepends onreinforcement learning99% confidence2 sources
- vision-language-action modelcomposed ofTransformer99% confidence2 sources
- vision-language-action modelapplies toembodied intelligence99% confidence2 sources
- vision-language-action modelapplies tohuman-robot collaboration99% confidence2 sources
- Pi0.5depends onvision-language-action model98% confidence2 sources
- vision-language-action modeldepends onlarge language model96% confidence2 sources
- rMuscledepends onvision-language-action model96% confidence1 source
- AHEADdepends onvision-language-action model96% confidence1 source
- RoboSeedapplies tovision-language-action model96% confidence1 source
- SkipVLAdepends onvision-language-action model96% confidence1 source
- Assistrondepends onvision-language-action model95% confidence1 source
- Metadata Augmented Private Language Evolutiondepends onvision-language-action model95% confidence1 source
- vision-language-action modelapplies torobotic manipulation95% confidence1 source
- vision-language-action modelcomposed ofaction head95% confidence1 source
- Harness VLAdepends onvision-language-action model95% confidence1 source
- WoVRdepends onvision-language-action model95% confidence1 source
- SeeTraceActdepends onvision-language-action model95% confidence1 source
- RePO-VLAdepends onvision-language-action model95% confidence1 source
- vision-language-action modeldepends onimitation learning95% confidence1 source
- VLA-HWBenchdepends onvision-language-action model95% confidence1 source
- DreamAvoiddepends onvision-language-action model95% confidence1 source
- vision-language-action modelcomposed ofQwen3-2B95% confidence1 source
- SimpleTouchdepends onvision-language-action model95% confidence1 source
- vision-language-action modeldepends onM2Tok95% confidence1 source
- RAF-VLAdepends onvision-language-action model95% confidence1 source
- Tri-Infoapplies tovision-language-action model95% confidence1 source
- VLA-Fabricdepends onvision-language-action model95% confidence1 source
- vision-language-action modelcomposed ofAction Diffusion Transformer95% confidence1 source
- eRLTdepends onvision-language-action model95% confidence1 source
- NativeMEMdepends onvision-language-action model95% confidence1 source
- Agentic Robot with Tool-usedepends onvision-language-action model95% confidence1 source
- MixVLAdepends onvision-language-action model95% confidence1 source
- RouteRLTdepends onvision-language-action model94% confidence1 source
- StageCraftdepends onvision-language-action model94% confidence1 source
- BoxBotdepends onvision-language-action model94% confidence1 source
- SentryVLAdepends onvision-language-action model94% confidence1 source
- Shared Autonomy for Policy Steeringdepends onvision-language-action model93% confidence1 source
- RA-VLAdepends onvision-language-action model93% confidence1 source
- vision-language-action modeldepends on3D world generative model93% confidence1 source
- ActGazedepends onvision-language-action model93% confidence1 source
Relationship
vision-language-action modeldepends onVision-Language Model
99% confidence14 supporting mentions
Either name opens that entity’s relationships.
Sources 14
- preprintarXivOct 23, 2026Semantic Anchoring for Robotic Action Representations
Vision-Language-Action (VLA) models inherit rich semantic representations from pretrained Vision-Language Models
- preprintarXivOct 23, 2026Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success
$S^2$ can also identify promising vision-language model (VLM) backbones before costly fine-tuning into vision-language-action models (VLAs)
- preprintarXivOct 22, 2026ThermoAct:Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making
The proposed system leverages a Vision-Language Model (VLM) as a high-level planner
- preprintarXivOct 15, 2026EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training
Vision-Language-Action Models (VLAs) inherit their visual and linguistic capabilities from Vision-Language Models (VLMs)
- preprintarXivOct 14, 2026Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered
Compression techniques such as quantization, distillation, and pruning are well-established for LLMs and VLMs
- preprintarXivOct 9, 2026Forward Dynamics Models
VLAs learn without explicit supervision from future world states
- preprintarXivOct 8, 2026ActionCodec: What Makes for Good Action Tokenizers
VLA models leveraging the native autoregressive paradigm of Vision-Language Models (VLMs)
- preprintarXivOct 8, 2026Rewiring Semantics, Dynamics, and Control: A Simple yet Effective Action-Centric Tri-Stream Transformer
VLA models have emerged as a prominent framework for complex robotic manipulation, building on the strong semantic understanding of pretrained Vision-Language Models (VLMs)
- preprintarXivOct 3, 2026ProbeFlow: Training-Free Adaptive Flow Matching for Vision-Language-Action Models
the Vision-Language Model (VLM) backbone
- preprintarXivOct 2, 2026APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
Vision-Language-Action (VLA) models that couple pretrained Vision-Language Models (VLMs) with continuous action experts
- preprintarXivSep 25, 2026Fast Plans, Faithful Actions: Closing the Planning-Execution Gap in Hierarchical Vision-Language-Action Models
Hierarchical vision-language-action (VLA) systems consist of a high-level vision-language planner and a low-level action expert
- preprintarXivSep 24, 2026VLANeXt: Recipes for Building Strong VLA Models
Vision-Language-Action models (VLAs) emerged, leveraging strong visual and language understanding from Vision-Language Models
- preprintarXivSep 21, 2026Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D Worlds
vision-language-action (VLA) models
- preprintarXivSep 16, 2026Explicit Language Memory for Long-Horizon Planning in Vision-Language-Action Models
the high-level VLM performs semantic reasoning through a visual question answering training paradigm, while the low-level VLA executes precise continuous control