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        "description": "Pointing has metric-displacement fallback; a121M diffusion policy uses robot height/radius and an embodiment-specific controller. Thus the full system is not pure image-space actuation or calibration-free universal robotics. Benchmark and two-platform tests are not guaranteed safe navigation.",
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      "statement": "# Robostral Navigate: prefix-cached training and visual waypoint control\n\nTrained a monocular vision-language waypoint policy on simulation trajectories using episode-level prefix caching/tree masks, then applied CISPO reinforcement learning; a diffusion policy and motion controller execute waypoints.\n\n## Scientific scope\n\nPointing has metric-displacement fallback; a121M diffusion policy uses robot height/radius and an embodiment-specific controller. Thus the full system is not pure image-space actuation or calibration-free universal robotics. Benchmark and two-platform tests are not guaranteed safe navigation.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nArjun Majumdar; Avinash Sooriyarachchi; Benjamin Tibi; Chris Bamford; Elliot Chane-Sane; Guillaume Lample; Khyathi Raghavi Chandu; Ludovic Ho Fuh; Mathieu Poirée; Olivier Duchenne; Rosalie Millner; Srijan Mishra; Théo Cachet; Thomas Chabal\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Robostral Navigate](https://arxiv.org/abs/2607.20785v1)\n- [Mistral research publications index](https://mistral.ai/research/)\n",
      "summary": "Trained a monocular vision-language waypoint policy on simulation trajectories using episode-level prefix caching/tree masks, then applied CISPO reinforcement learning; a diffusion policy and motion controller execute waypoints.",
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