SpatialScout: Can VLM Agents Actively Explore and Map 3D Scenes? Paper • 2610.26659 • Published 8 days ago • 170
OPD Before RL: Warm-Starting Rubric-Based RL with On-Policy Distillation Paper • 2610.02781 • Published 25 days ago • 17
When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models Paper • 2610.05719 • Published 22 days ago • 35
Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency Paper • 2610.04318 • Published 24 days ago • 18
Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding Paper • 2609.32019 • Published Sep 25 • 66
WorldLine: Action-Driven Visual Simulation for Robotic Manipulation Paper • 2609.38059 • Published 28 days ago • 33
EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments? Paper • 2609.37686 • Published 28 days ago • 75
HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents Paper • 2609.38008 • Published 28 days ago • 49
World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal Paper • 2609.29964 • Published Sep 24 • 15
The Past Frames the Future: Memory for Autoregressive Video Generation Paper • 2609.28466 • Published Sep 23 • 66
ShieldVLA: Feasibility-Aware Safety Alignment for Vision-Language-Action Models Paper • 2609.13231 • Published Sep 2 • 19
CARE: Experience-Guided Atomic Corrective Execution for Vision-Language-Action Policies Paper • 2609.24118 • Published Sep 21 • 28