SOTAVerified

Vision-Language-Action

Papers

Showing 76–100 of 157 papers

TitleStatusHype
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
Show:102550
← PrevPage 4 of 7Next →

No leaderboard results yet.