Gemini Robotics: Bringing AI into the Physical World

By G. Team, Saminda Abeyruwan, J. Ainslie, Jean-Baptiste Alayrac, Montse Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauzá, M. Blokzijl and 108 more. arXiv.org, 2025

385 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/483529b13e5ae113204185843a8df94ee8d98447

Citations in the corpus

• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025, neutral): “MMLU-Pro [61], GAOKAO [177], IFEval [185]; (4) Agentic Tasks : SGP-Bench [102], ScreenSpot [16], ScreenSpot-v2 [150], OSWorld-G [156], VSI-Bench [161], ERQA [121], SpaCE-10 [38].”
• π0.5: a Vision-Language-Action Model with Open-World Generalization (2025, neutral): “…that augmenting end-to-end policies with high-level reasoning can significantly improve performance for long-horizon tasks [2, 36, 44, 74, 71, 4, 16, 11, 53, 88, 51, 59, 13, 70, 91, 65, 72, 47, 76, 89], particularly when high-level subtask inference can benefit from large pre-trained LLMs and VLMs.”
• GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning (2025, neutral): “…Some [18], Webquest-QA [56]; • Coding : Design2Code [43], Flame-React-Eval [1]; • Spatial Reco & Reasoning : OminiSpatial [24], CV-Bench [51], ERQA [49], All-Angles Bench [65]; • Video Understanding : VideoMME [10], MMVU [71], VideoMMMU [22], LVBench [58], MotionBench [19], MVBench [28]; Setting.”
• Qwen3-VL Technical Report (2025, neutral): “…into the following key types: (1) Knowledge: MMLU-Pro (Wang et al., 2024f), MMLU-Redux (Gema et al., 2024), GPQA (Rein et al., 2023), SuperGPQA (Team, 2025), (2) Reasoning: AIME-25 (AIME, 2025), HMMT-25 (HMMT, 2025), LiveBench (2024-11-25) (White et al., 2024), (3) Code: LiveCodeBench v6 (Jain…”