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Vision-Language-Action

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Showing 51–100 of 157 papers

TitleStatusHype
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks—0
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models—0
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs—0
Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience—0
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation—0
MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
NaVILA: Legged Robot Vision-Language-Action Model for Navigation—0
NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks—0
Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation—0
Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation—0
ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration—0
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving—0
OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation—0
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents—0
OPAL: Encoding Causal Understanding of Physical Systems for Robot Learning—0
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction—0
π_0.5: a Vision-Language-Action Model with Open-World Generalization—0
π_0: A Vision-Language-Action Flow Model for General Robot Control—0
Pixel Motion as Universal Representation for Robot Control—0
Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
QUART-Online: Latency-Free Large Multimodal Language Model for Quadruped Robot Learning—0
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots—0
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding—0
ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis—0
Refined Policy Distillation: From VLA Generalists to RL Experts—0
ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models—0
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models—0
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation—0
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation—0
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation—0
RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models—0
Robotic Control via Embodied Chain-of-Thought Reasoning—0
Robotic Policy Learning via Human-assisted Action Preference Optimization—0
ROSA: Harnessing Robot States for Vision-Language and Action Alignment—0
RT-cache: Efficient Robot Trajectory Retrieval System—0
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust—0
SAFE: Multitask Failure Detection for Vision-Language-Action Models—0
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning—0
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention—0
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters—0
Survey on Vision-Language-Action Models—0
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction—0
Towards Natural Language-Driven Assembly Using Foundation Models—0
A Taxonomy for Evaluating Generalist Robot Policies—0
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies—0
TrackVLA: Embodied Visual Tracking in the Wild—0
Unified Vision-Language-Action Model—0
Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks—0
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