Research19d ago
Embodied VLA Perception-Action Breakthroughs: PINT Shared Predictive Intent Hits 15.5% on RoboTwin 2.0-Hard and PAIR Boosts Real-Robot OpenVLA-OFT by 13.6 Points
Addressing the representation gap between high-level VLM semantics, video world models, and low-level control in Vision-Language-Action (VLA) architectures, PINT (arXiv:2610.16355) introduces learnable chunk-level Predictive Intent Tokens to reach 15.5% on RoboTwin 2.0-Hard without embodied pretraining (4.8x over StarVLA's 3.2%). Alongside PAIR (arXiv:2610.09016) and PKU's SimForcing (arXiv:2610.06598), these frameworks bridge perception and action with zero inference overhead.
Release21d ago
Elorian launches Glimpse, a visual-thinking model that revisits images and video frames mid-reasoning; $0.60/$3 per M tokens, ahead of GPT-6 Astra on four vendor-run evals
Elorian, founded by ex-Google DeepMind researcher Andrew Dai, released Glimpse on Oct 16: a visual-thinking model that crops regions, rewatches clips at denser frame rates and runs code while reasoning. Post-trained on an open-weights base with a few hundred GPUs, priced at $0.60/$3 per million input/output tokens. Vendor evals put it ahead of GPT-6 Astra on WGO Bench, CharXiv-R, UGC-VideoCap and FSC-147, but behind on HSS, BabyVision, TOMATO and Video-MME v2.
Robotics23d ago
GreenWAM: Universal Robotics World Foundation Model Controls Real Humanoids Across 20 Embodiment Families
Robotics research typically separates world models (predicting scene transitions) from control policies (generating actions), fragmented by proprietary robot-specific kinematic formats. Sber AI researchers introduced GreenWAM, a foundational world model for robotics. GreenWAM unifies 20 robot embodiment families (from bimanual arms to dexterous humanoids) under a common joint coordinate space, co-training across visual, action-conditioned, and world-action objectives with specialized action-expert heads. GreenWAM achieves top-tier 3D trajectory and depth accuracy on WorldArena 1.0, establishes state-of-the-art policy benchmark scores on RoboTwin 2.0 and LIBERO-plus, and successfully drives real-world humanoid robots outperforming Cosmos 3 Edge and pi_0.5.
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