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cs.RO2026
EvoMem-VLA: State-Evolution Memory for Long-Horizon Robot Manipulation
Yuheng Na, Zhide Zhong, Junjie He +7
Most vision-language-action (VLA) models rely on current observations and lose task-relevant evidence once it leaves view, limiting performance on long-horizon, memory-dependent ta…
cs.RO2026
SG-WAM: Text-Grounded and Spatial-aware Semantic Guidance for World-Action Models
Junjie He, Junfeng Li, Zhide Zhong +9
World-Action Models (WAMs) have emerged as a promising paradigm for robotic manipulation. However, most existing WAMs generate future videos and actions by relying mainly on visual…