AI RESEARCH
Touch-R1: Reinforcing Touch Reasoning in MLLMs
arXiv CS.CV
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ArXi:2605.27154v1 Announce Type: new While rule-based reinforcement learning has recently catalyzed explicit reasoning in multimodal models, tactile reasoning remains largely underexplored. Existing tactile-language models primarily rely on supervised or contrastive objectives, which limits their capacity to ground predictions in physical evidence or rectify misleading visual priors. Tactile reasoning