Papers Vision-Language-Action
“Vision-Language-Action” 태그가 달린 논문 157편 · 필터 해제
LaViPlan : Language-Guided Visual Path Planning with RLVR
Out-of-distribution (OOD) scenarios in autonomous driving refer to situations that deviate from the training domain, often leading to unexpected and potentially hazardous behavior from planners that lack prior exposure t…
Autonomous DrivingVision-Language-ActionVisual ReasoningAnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation
Vision-language-action (VLA) models have shown promise on task-conditioned control in complex settings such as bimanual manipulation. However, the heavy reliance on task-specific human demonstrations limits their general…
Vision-Language-ActionVision Language Action Models in Robotic Manipulation: A Systematic Review
Vision Language Action (VLA) models represent a transformative shift in robotics, with the aim of unifying visual perception, natural language understanding, and embodied control within a single learning framework. This …
Dataset GenerationNatural Language UnderstandingVision-Language-ActionVOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Recent large-scale Vision Language Action (VLA) models have shown superior performance in robotic manipulation tasks guided by natural language. However, their generalization remains limited when applied to novel objects…
Depth EstimationVision-Language-ActionDreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
Recent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reasoning in robot manipulation. However, existing methods ar…
Image GenerationMultimodal ReasoningRobot ManipulationVision-Language-Action+1A Survey on Vision-Language-Action Models for Autonomous Driving
The rapid progress of multimodal large language models (MLLM) has paved the way for Vision-Language-Action (VLA) paradigms, which integrate visual perception, natural language understanding, and control within a single p…
Autonomous DrivingAutonomous VehiclesNatural Language UnderstandingSurvey+1WorldVLA: Towards Autoregressive Action World Model
We present WorldVLA, an autoregressive action world model that unifies action and image understanding and generation. Our WorldVLA intergrates Vision-Language-Action (VLA) model and world model in one single framework. T…
Action GenerationmodelVision-Language-ActionParallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
Vision-language-action (VLA) models extend vision-language models (VLM) by integrating action generation modules for robotic manipulation. Leveraging strengths of VLM in vision perception and instruction understanding, V…
Action GenerationVision-Language-ActionUnified Vision-Language-Action Model
Vision-language-action models (VLAs) have garnered significant attention for their potential in advancing robotic manipulation. However, previous approaches predominantly rely on the general comprehension capabilities of…
Autonomous DrivingmodelVision-Language-ActionCronusVLA: Transferring Latent Motion Across Time for Multi-Frame Prediction in Manipulation
Recent vision-language-action (VLA) models built on pretrained vision-language models (VLMs) have demonstrated strong generalization across manipulation tasks. However, they remain constrained by a single-frame observati…
ChunkingVision-Language-ActionRoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in visuomotor control, yet ensuring their robustness in unstructured real-world environments remains a persistent challenge. In this paper, we…
Synthetic Data GenerationVision-Language-ActionRLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models
Vision-Language-Action models (VLA) have demonstrated remarkable capabilities and promising potential in solving complex robotic manipulation tasks. However, their substantial parameter sizes and high inference latency p…
Model CompressionQuantizationVision-Language-ActionVLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
Recent studies on Vision-Language-Action (VLA) models have shifted from the end-to-end action-generation paradigm toward a pipeline involving task planning followed by action generation, demonstrating improved performanc…
Action GenerationContinual LearningTask PlanningVision-Language-ActionCapsDT: Diffusion-Transformer for Capsule Robot Manipulation
Vision-Language-Action (VLA) models have emerged as a prominent research area, showcasing significant potential across a variety of applications. However, their performance in endoscopy robotics, particularly endoscopy c…
DiagnosticRobot ManipulationVision-Language-ActionAutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Recent advancements in Vision-Language-Action (VLA) models have shown promise for end-to-end autonomous driving by leveraging world knowledge and reasoning capabilities. However, current VLA models often struggle with ph…
Action GenerationAutonomous DrivingTrajectory PlanningVision-Language-Action+1LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
Vision-language-action (VLA) models have demonstrated strong semantic understanding and zero-shot generalization, yet most existing systems assume an accurate low-level controller with hand-crafted action "vocabulary" su…
Instruction FollowingVision-Language-ActionVisual NavigationZero-shot GeneralizationROSA: Harnessing Robot States for Vision-Language and Action Alignment
Vision-Language-Action (VLA) models have recently made significant advance in multi-task, end-to-end robotic control, due to the strong generalization capabilities of Vision-Language Models (VLMs). A fundamental challeng…
State EstimationVision-Language-ActionBlock-wise Adaptive Caching for Accelerating Diffusion Policy
Diffusion Policy has demonstrated strong visuomotor modeling capabilities, but its high computational cost renders it impractical for real-time robotic control. Despite huge redundancy across repetitive denoising steps, …
Action GenerationDenoisingVision-Language-ActionA Comprehensive Survey on Continual Learning in Generative Models
The rapid advancement of generative models has enabled modern AI systems to comprehend and produce highly sophisticated content, even achieving human-level performance in specific domains. However, these models remain fu…
Continual LearningSurveyVision-Language-ActionEfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
Vision-Language-Action (VLA) models, particularly diffusion-based architectures, demonstrate transformative potential for embodied intelligence but are severely hampered by high computational and memory demands stemming …
Vision-Language-Action