Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
On the map: Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
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Abstract (arXiv)
Vision-Language-Action (VLA) models extend vision-language models to embodied control by mapping natural-language instructions and visual observations to robot actions. Despite their capabilities, VLA systems face significant challenges due to their massive computational and memory demands, which conflict with the constraints of edge platforms such as on-board mobile manipulators that require real-time performance. Addressing this tension has become a central focus of recent research. In light of the growing efforts toward more efficient and scalable VLA systems, this survey provides a systematic review of approaches for improving VLA efficiency, with an emphasis on reducing latency, memory footprint, and training and inference costs. We categorize existing solutions into four dimensions: model architecture, perception feature, action generation, and training/inference strategies, summarizing representative techniques within each category. Finally, we discuss future trends and open challenges, highlighting directions for advancing efficient embodied intelligence.
Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). Placed in Embodied and 3D vision-language models, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 83 of its 98 references that are in the map. First posted on arXiv 20 Oct 2025.
Builds on
83 of 98 references.
Closest ancestors · 9
Same direction, newest first
- 2025VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation10 Oct
- 2025SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics2 Jun
- 2025CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models27 Mar
- 2025MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation26 Mar
- 2025Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success27 Feb
- 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution4 Nov
- 2024HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers12 Sep
- 2024Robotic Control via Embodied Chain-of-Thought Reasoning11 Jul
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control28 Jul
Other references · 74
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- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
- 2023Visual Instruction Tuningcited by 7,869
- 2020Scaling Laws for Neural Language Modelscited by 6,586
- 2022Scalable Diffusion Models with Transformerscited by 6,054
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38 more
- 2023Qwen Technical Reportcited by 3,344
- 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,887
- 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuningcited by 2,876
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,838
- 2024π0: A Vision-Language-Action Flow Model for General Robot Controlcited by 2,407
- 2022RT-1: Robotics Transformer for Real-World Control at Scalecited by 2,061
- 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1,786
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- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,568
- 2024Octo: An Open-Source Generalist Robot Policycited by 1,484
- 2025SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Featurescited by 1,188
- 2024DROID: A Large-Scale In-The-Wild Robot Manipulation Datasetcited by 852
- 2025FAST: Efficient Action Tokenization for Vision-Language-Action Modelscited by 665
- 2024An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Modelscited by 642
- 2023Learning Universal Policies via Text-Guided Video Generationcited by 522
- 2025SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Modelcited by 519
- 2019Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillationcited by 497
- 2023Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulationcited by 364
- 2024TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulationcited by 339
- 2024GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulationcited by 296
- 2024Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representationscited by 289
- 20243D Diffuser Actor: Policy Diffusion with 3D Scene Representationscited by 282
- 2024A Survey on Vision-Language-Action Models for Embodied AIcited by 279
- 2023A Survey on Model Compression for Large Language Modelscited by 269
- 2025SmolVLM: Redefining small and efficient multimodal modelscited by 237
- 2025Real-Time Execution of Action Chunking Flow Policiescited by 216
- 2025DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledgecited by 213
- 2025VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interactioncited by 197
- 2023BitNet: Scaling 1-bit Transformers for Large Language Modelscited by 189
- 2024Behavior Generation with Latent Actionscited by 160
- 2025ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policycited by 154
- 2025Unified Vision-Language-Action Modelcited by 134
- 2025NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Taskscited by 127
- 2023Accelerating Transformer Inference for Translation via Parallel Decodingcited by 124
- 2025GR-3 Technical Reportcited by 111
- 2025A Survey on Vision-Language-Action Models: An Action Tokenization Perspectivecited by 96
- 2025EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Modelscited by 93
- 2025PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decodingcited by 88
50 most cited of 74 All 74 (JSON)
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Citing papers per year: 2025: 6; 2026: 20.
26 papers.
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- 2025VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inferencecited by 58
- 2025VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layercited by 34
- 2026Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planningcited by 24
- 2026FASTER: Rethinking Real-Time Flow VLAscited by 21
- 2026Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future Imaginationcited by 18
- 2025TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Accelerationcited by 6
- 2026VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoningcited by 6
- 2026StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observationcited by 6
- 2025ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Modelscited by 5
- 2026TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Controlcited by 5
- 2025An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challengescited by 4
- 2025RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AIcited by 3
14 more
- 2026Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inferencecited by 3
- 2026From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Modelscited by 2
- 2026ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Modelscited by 2
- 2026Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptationcited by 2
- 2026PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policiescited by 1
- 2026Position: Introspective Experience from Conversational Environments as a Path to Better Learningcited by 0
- 2026VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesiscited by 0
- 2026Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devicescited by 0
- 2026Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Modelscited by 0
- 2026rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inferencecited by 0
- 2026Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAscited by 0
- 2026Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Accelerationcited by 0
- 2026Beyond LLM Serving: Characterizing Vision-Language-Action Workloads for Embodied AI System Designcited by 0
- 2026REACT: Rolling Denoising and Dual Decoupling for Reactive Robot Control with VLA Modelscited by 0
- 2026REACT: Rolling Denoising and Dual Decoupling for Reactive Robot Control with VLA Models8 Oct 2026
- 2026Beyond LLM Serving: Characterizing Vision-Language-Action Workloads for Embodied AI System Design4 Oct 2026
- 2026Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration29 Sep 2026
- 2026Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs17 Sep 2026
- 2026rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference16 Sep 2026
- 2026Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models3 Sep 2026
- 2026Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference14 Jul 2026
- 2026Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices11 Jul 2026
- 2026Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation30 Jun 2026
- 2026PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies25 Jun 2026
- 2026Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future Imagination8 Jun 2026
- 2026ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models28 May 2026
14 more
- 2026VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis16 May 2026
- 2026StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation30 Mar 2026
- 2026FASTER: Rethinking Real-Time Flow VLAs19 Mar 2026
- 2026From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models19 Mar 2026
- 2026VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning15 Mar 2026
- 2026Position: Introspective Experience from Conversational Environments as a Path to Better Learning16 Feb 2026
- 2026TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control21 Jan 2026
- 2026Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning14 Jan 2026
- 2025TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Acceleration13 Dec 2025
- 2025An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges12 Dec 2025
- 2025RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AI11 Dec 2025
- 2025VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer9 Dec 2025
- 2025VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference30 Nov 2025
- 2025ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models22 Nov 2025
- 2025VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inferencecited by 58
- 2025VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layercited by 34
- 2026Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planningcited by 24
- 2026FASTER: Rethinking Real-Time Flow VLAscited by 21
- 2026StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observationcited by 6
- 2025ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Modelscited by 5
- 2026TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Controlcited by 5
- 2025An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challengescited by 4
- 2025RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AIcited by 3
- 2026Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inferencecited by 3
- 2026From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Modelscited by 2
- 2026PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policiescited by 1
12 most cited of 17 All 17 (JSON)
- 2026REACT: Rolling Denoising and Dual Decoupling for Reactive Robot Control with VLA Models8 Oct 2026
- 2026Beyond LLM Serving: Characterizing Vision-Language-Action Workloads for Embodied AI System Design4 Oct 2026
- 2026Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration29 Sep 2026
- 2026rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference16 Sep 2026
- 2026Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference14 Jul 2026
- 2026PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies25 Jun 2026
- 2026VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis16 May 2026
- 2026StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation30 Mar 2026
- 2026FASTER: Rethinking Real-Time Flow VLAs19 Mar 2026
- 2026From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models19 Mar 2026
- 2026TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control21 Jan 2026
- 2026Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning14 Jan 2026
12 newest of 17 All 17 (JSON)
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