Open multimodal reasoning models have benefited from large-scale reasoning supervision, yet reliable post-training remains challenging due to uneven data quality, inefficient supervision construction, imbalanced difficulty, and cross-domain interference. We introduce MMVistaReason (MVR), an open-data post-training reci...
Jue-Kai Lin, Hong-Lin Lin, Yu-Qian Yuan et al.· 0 citations
ABot-N1 establishes new state-of-the-art records, delivering massive gains specifically in urban-scale navigation: boosting POI arrival by 35.0% (to 77.3%) and achieving 95.4%/92.9% SR in complex indoor and outdoor scenes.
Ruiyan Gong, Ying-Nan Guo, Junjun Hu et al.· arXiv.org· 4 citations· ⚡1
ABot-AgentOS is presented, a general robotic Agent Operating System that sits above low-level controllers and provides a deliberative agent layer for scene-conditioned planning, context-isolated skill execution, multi-stage verification, multi-modal memory, and edge-cloud collaboration.
Jiayi Tian, Shiao Liu, Yuting Xu et al.· 0 citations
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