Author

Xiao Ma

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Preprint Aug 2026

BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation

BridgeVLA++ is developed by equipping BridgeVLA with a unified spatio-temporal memory architecture that models persistent spatial context and temporal interaction history that can reason over observation histories while preserving BridgeVLA's data efficiency and generalization capabilities.

Pei-Yan Li, Yuze Zhu, Yixiang Chen et al. · 2 citations · ⚡1

Episodic Memory-Guided Controllable Experience Synthesis for Reinforcement Learning

EMES is the first work to incorporate EM into controllable DMs and to leverage EM for guiding data synthesis in RL, and introduces a hashing-based state representation for EM to improve its efficiency and further boost the quality of synthetic data.

Xiao Ma, Tian Li, Wu-Jun Li · 0 citations