ONNX

Headlines · 5

1. 2d
   Metatron v1 brings unified Unitree G1 humanoid control policy

   A report describes Metatron v1 as a single learned policy for the 29-joint Unitree G1 humanoid, handling walking, scene interaction and fall recovery. The MaskedMimic-style transformer student was released under the NVIDIA Open Model License and integrated with ProtoMotions. The release contains three non-interchangeable packages: a native PyTorch checkpoint of about 459 MB for simulator and supervised real-robot workflows, a single-robot browser ONNX pipeline, and a six-robot batched ONNX network requiring external observation processing. All three use epoch-6410 weights, while the ONNX exports run on MuJoCo WASM and ONNX Runtime Web through WebGPU or WASM.

   r/LocalLLaMA · 🔥 2
2. 5d
   AWS updates SageMaker SDK v3 pattern for fleet-wide edge computer vision

   AWS Machine Learning Blog updated a reference architecture for managing per-camera computer-vision models across production lines using the current SageMaker Python SDK v3. The pattern uses a dual-branch SageMaker Pipeline for anomaly detection and defect classification, quality gates, SageMaker Neo edge compilation, model registry versioning, and Step Functions orchestration; AWS reports that a full synthetic-data pipeline run costs about $0.07 in compute.

   AWS Machine Learning Blog · 🔥 0
3. 6d
   Pollen Robotics presents the Microduck biped robot

   Pollen Robotics’ Microduck repository describes a roughly 25 cm, 800 g biped duck robot whose locomotion uses reinforcement-learning policies. The vendor says its Rockchip RK3566 runs a 50 Hz control loop for 15 servos. Policies are trained in the companion microduck_rl project using MuJoCo, PPO, domain randomization and a sim-to-real process, then exported to ONNX. The repository includes robot code, documentation and a simulator, and provides a purchase link.

   GitHub Trending（每日） · 🔥 0
4. 7d
   Pollen Robotics releases Microduck RL environments

   Pollen Robotics’ microduck_rl repository provides reinforcement-learning environments for the Microduck bipedal robot, built on mjlab and MuJoCo Warp with PPO. According to the vendor, policies are trained at 50 Hz, exported to ONNX and deployed on the robot by the Microduck runtime. Documented tasks include walking with velocity and head-pose commands, walking with fall recovery, standing up, sitting and standing, and other movements. The repository also documents sim-to-real techniques including BAM actuator physics, domain randomization and backlash simulation. The code is licensed under Apache License 2.0.

   GitHub Trending · Python · 🔥 0
5. Oct 23
   NVIDIA details TensorRT Global Performance Tuner

   NVIDIA Technical Blog explains the Global Performance Tuner, an automatic performance-tuning feature released in TensorRT 11.1. The tuner searches customizable compiler build routes, validates candidates against an accuracy tolerance, measures end-to-end inference performance, and selects the fastest feasible solution. NVIDIA says this approach addresses model- and deployment-dependent scheduling effects that individual kernel benchmarks cannot reveal.

   NVIDIA Technical Blog · 🔥 0

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