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Preprint Oct 2026

Cracking Mobile Manipulation: From Failure Diagnosis to Agentic Robot System

Recent vision-language-action (VLA) models have shown strong performance on local robot manipulation, yet their success does not readily translate to long-horizon mobile manipulation. In our experiments, a pretrained subtask VLA achieves 80% success rate on atomic manipulation tasks but only 19% when these skills are c...

Zi-Xu Wang, Jia-Ning Li, Yin-Zhou Tang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Reflect After Failure: Brain-Inspired Self-Evolving Agents for Embodied Spatial Intelligence

Vision-Language Models (VLMs) have made substantial progress in spatial reasoning, and self-evolving agents further extend these capabilities to embodied environments by learning from interactions. However, current self-evolution remains particularly challenging in embodied spatial tasks, complex and multi-step decisio...

Xin Li, Xiao-Huan Gu, Yi-Fan Wang et al. · 0 citations

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