@chris_j_paxton
Mostly posting about robots. currently AI @agilityrobotics prev embodied AI @AIatMeta, @NVIDIAAI. All views my own.
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Xiaomi says its robot sorted center-console side covers and can autonomously detect and correct anomalies.
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Visitors are offered keyboard and drag controls for robot arms, plus views of predicted geometry and touch signals.
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Meta is reportedly developing a second version amid a reported push to develop robots for people's homes.
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RoboPapers says unsuccessful robot attempts are being discarded, despite their value for world-model and reward-model research.
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Mundane says operators can send its robots into danger zones while remaining in control from a safe distance.
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Machenta says its simulation-trained model learns new tasks from one demonstration, without further training.
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Its creator says it records joint states and actions without an embodiment gap.
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A post calls the climbing more impressive than robot MMA stunts; another urges showing robots interacting with their surroundings.
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A user describes SenseNova-RoboRSI-27B-Preview choosing movements from camera images and adjusting after the simulator returns new observations.
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Its creators say operators can feel what a gripper touches during handheld data collection, without force sensors or motors.
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Researchers say their policies also learned gear meshing and nut threading in simulation, without visual or tactile sensing.
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Its researchers say it learns from action-free robot videos to select reachable, useful visual subgoals rather than predict every frame.
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The Humanoid Hub says Brett sees pre-training at scale as key to winning in robotics.
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A user calls the reported nonstop run impressive; another reacts enthusiastically to the same linked post.
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A post describing NVIDIA at GTC Berlin lists 31 degrees of freedom and dual 20-DoF WUJI hands.
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A visitor to Dyna Robotics says the robot gave him the drink he was holding in a photo.
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Unitree touts “powerful performance to serve and guard you” and claims a maximum endurance of approximately eight hours.
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An October 20 post says the API is coming soon without giving a release date.
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On its reservation page, Tuesday Labs lists a $200 refundable payment and says shipping will begin in 2028.
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On Oct. 20, gui_penedo wrote that they were in San Francisco for Encord's Long Horizon Physical AI Summit.