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Unitree G1

Product12 stories

  1. Open sourceReach 48

    NVIDIA animates characters and robots like Legos

    NVIDIA just open-sourced MotionBricks, a real-time motion generation model for digital characters and humanoid robots. By feeding it a handful of target poses, it instantly connects the dots to generate smooth transitions and object interactions without retraining. Pretrained models for human skeletons and the Unitree G1 robot are ready to run on GitHub.

  2. RoboticsReach 43

    Humanoid robots team up to play ping-pong doubles

    Researchers just deployed PingpongDuo, a collaborative framework that lets two Unitree G1 humanoid robots play table tennis doubles. Operating in tight quarters, the pair alternatingly returned the ball, cleared hitting space for each other, and sustained a 10-shot rally. Why it matters: Teaching agile robots real-time teamwork without bumping into each other is a major step toward shared physical workspaces.

  3. RoboticsReach 39

    HumanX teaches humanoid robots to shoot hoops from human video

    HumanX just open-sourced a full-stack framework that turns standard human videos into agile interaction skills for humanoid robots. Tested on the Unitree G1 in simulation, it reproduces basketball pump-fakes, shots, and soccer kicks from monocular footage without motion-capture suits. It basically gives developers a way to train physical robot policies directly from everyday video.

  4. RoboticsReach 39

    NVIDIA's MotionBricks runs 15,000 FPS animations for games and humanoids

    NVIDIA just unveiled MotionBricks, a unified motion generation framework that hits 15,000 FPS with just 2ms latency on a single neural backbone. It handles over 350,000 motion skills, animating Unreal Engine 5 characters and directly controlling physical Unitree G1 humanoid robots without task retraining. Why it matters: It bridges the long-standing gap between game animation and real-world robotics with one shared brain, and early preview code is already on GitHub.

  5. RoboticsReach 39

    Humanoids can now rally with you on the tennis court

    Chinese researchers just taught a Unitree G1 humanoid robot to play tennis using only five hours of imperfect motion-capture data. Through a framework called LATENT, the robot can track footwork, return balls traveling over 15 m/s with 90% accuracy, and sustain multi-shot rallies against human players.

  6. RoboticsReach 39

    OmniXtreme lets humanoid robots pull off backflips and breakdancing

    Researchers just open-sourced OmniXtreme, a control framework that teaches humanoid robots high-agility moves like backflips, breakdancing, and handstands. A two-stage approach combines scalable simulation pre-training with residual learning to protect real-world hardware. Why it matters: It breaks the generality barrier, proving humanoids can execute complex acrobatics with a single unified policy without wrecking their motors.

  7. RoboticsReach 48

    Unitree pulls off an autonomous humanoid kung fu show

    Unitree just revealed behind-the-scenes details of its Lunar New Year showcase, where dozens of G1 humanoids performed the world's first fully autonomous cluster kung fu routine with zero teleoperation. The demo also featured an H2 robot dressed as the Monkey King riding quadruped "clouds," proving multi-humanoid physical coordination is advancing rapidly.

  8. RoboticsReach 47

    MindOne puts an AI housekeeper brain into Unitree's G1

    Shenzhen startup MindOne Robotics just shared a viral demo showing a Unitree G1 humanoid tackling household chores like watering plants, wiping counters, and fetching packages. The company claims the entire video runs autonomously with zero teleoperation or speed-ups, sparking intense industry curiosity given humanoid robotics' notorious generalization hurdle.

  9. RoboticsReach 33

    Humanoid fighters square off in world's first robot kickboxing match

    Unitree's G1 humanoids just stepped into the ring for the world's first robot kickboxing tournament in Hangzhou, trading punches and front kicks under human-guided control. The 35kg bipedal bots used 360-degree depth cameras and AI motion control to dodge blows and recover from knockdowns. Agile, low-cost humanoid hardware is moving remarkably fast.

  10. RoboticsReach 33

    humanoids gain human-like agility with ASAP framework

    Researchers just introduced ASAP, a two-stage framework that bridges the sim-to-real physics gap for humanoid robots. By pairing simulated pre-training with a real-world residual action model, the team demonstrated agile whole-body skills on a Unitree G1 robot with significantly reduced tracking errors. Why it matters: It offers a practical path to dynamic robot agility without manual parameter tuning.