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CoRL 2026 Oral 🌟 A team led by Peking University introduced OpenDexGrasp. It takes free-form language instructions, multi-view images, and 3D point clouds as input. Then it directly generates a dexterous five-finger grasp pose. For example, grip a hammer by its handle, not its head. To train the model, the team built OpenDexVerse: • OpenDex-Scale: 1.24M automatically generated grasp samples. • OpenDex-Align: 27.42K human-teleoperated and transferred grasp samples. The results: In simulation: 62.96% functional grasp success on unseen object categories. The DexGraspNet 2.0 baseline scored 43.22%. On a real robot, it achieved a 72% success rate across 10 everyday objects, including brushes, shampoo bottles, umbrellas, and pitchers. The baseline scored 59%. It's also faster. Traditional methods predict the graspable area first, then optimize the hand pose. OpenDexGrasp generates the grasp pose directly. Traditional pipeline: 2.84 s OpenDexGrasp: 0.93 s 67% less inference time. It's not perfect, though. Thin or complex objects like keyboards, frisbees, and flower pots can still cause problems, including finger penetration and inaccurate grasp placement.
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The Corleone crime family saga is getting a new chapter. Random House has acquired a “Godfather” novel authorized by Mario Puzo's estate, written by bestselling author Adriana Trigiani.
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FLAP APPS keeps growing 🦋 Now live: @Corla_5555 A community token launchpad on BNB Chain, built on Flap, supporting token creation, mint participation, and launch when fully funded. Built on Flap's Pool Launch infrastructure, Corla offers a glimpse of what's possible for builders. Pool Launch will officially go live on Flap soon. The docs are already live 👇 Disclaimer: Flap's security review is limited to smart contracts operating within Flap. Listing does not constitute an endorsement of the app or its associated tokens. DYOR. Explore FLAP APPS → 🦋
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A human vs. a Sharpa robot in a stick-drop reaction game at CoRL 2026. The robot wins.
How do we make RL-powered humanoid robots safe without sacrificing performance? In our latest #CoRL2026# paper, Constrained Whole-Body Tracking for Humanoid Robots, we introduce safety filters that enforce kinematic and dynamic constraints—even those never encountered during training. The approach minimally interferes with the underlying RL policy and requires *no retraining*. At CoRL in Austin? Come meet @danielpmorton at Poster Session 2, Tuesday evening, #204#! Project: Paper: Work led by @danielpmorton, in collaboration with Pranit Mohnot #HumanoidRobotics# #ReinforcementLearning# #RobotLearning# #PhysicalAISafety# #Robotics# @StanfordAILab @StanfordASL
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Who are your top 10 accounts with fewer than 20,000 followers? @FinnStockinger @EhrmantrautCap_ @HunterAllen4 @corleoneinvests @Sofigoodboy @Million_Sancet @awodias @outliercapx @athuinvests @CaesarCapitalz Tag them below and repost this. Let’s give smaller accounts putting real work into their research and analysis the attention they deserve.
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$NVDA - Nvidia Introduces Gr00t 2, Isaac Lab 3.0, And New Open Benchmarks At Corl
Nvidia Introduces Gr00t 2, Isaac Lab 3.0, And New Open Benchmarks At Corl