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Vision-Language-Action

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Showing 1–50 of 157 papers

TitleStatusHype
AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation—0
LaViPlan : Language-Guided Visual Path Planning with RLVR—0
Vision Language Action Models in Robotic Manipulation: A Systematic ReviewCode2
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble VotingCode1
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World KnowledgeCode3
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and TrendsCode2
WorldVLA: Towards Autoregressive Action World ModelCode4
CronusVLA: Transferring Latent Motion Across Time for Multi-Frame Prediction in Manipulation—0
Unified Vision-Language-Action Model—0
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models—0
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models—0
RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models—0
CapsDT: Diffusion-Transformer for Capsule Robot Manipulation—0
A Comprehensive Survey on Continual Learning in Generative ModelsCode2
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction—0
Block-wise Adaptive Caching for Accelerating Diffusion Policy—0
ROSA: Harnessing Robot States for Vision-Language and Action Alignment—0
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-TuningCode3
From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models—0
SAFE: Multitask Failure Detection for Vision-Language-Action Models—0
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models—0
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models—0
TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy OptimizationCode0
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency—0
Hybrid Reasoning for Perception, Explanation, and Autonomous Action in Manufacturing—0
Real-Time Execution of Action Chunking Flow PoliciesCode3
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models—0
BitVLA: 1-bit Vision-Language-Action Models for Robotics ManipulationCode2
Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action FrameworkCode0
Robotic Policy Learning via Human-assisted Action Preference Optimization—0
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation—0
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models—0
Adversarial Attacks on Robotic Vision Language Action ModelsCode1
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding—0
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsCode11
OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation—0
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks—0
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction—0
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action ModelsCode3
TrackVLA: Embodied Visual Tracking in the Wild—0
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better—0
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation—0
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained KnowledgeCode1
Hume: Introducing System-2 Thinking in Visual-Language-Action Model—0
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review—0
What Can RL Bring to VLA Generalization? An Empirical Study—0
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement LearningCode3
Interactive Post-Training for Vision-Language-Action Models—0
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving—0
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