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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jian Cheng

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Preprint Aug 2026

Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models

Mind-VLA is presented, an instruction-aware spatial representation alignment method for VLA models that obtains the target object specified by the language instruction, then prepares its canonical target views and extracts the corresponding VAE and VGGT features to enable instruction-aware 3D understanding.

Xing-Yu Ding, Yu-Zhong Zhao, Yang Wu et al. · 2 citations

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