Drawer Manipulation ONNX Model Bundle — Dual-Arm Torso
Drawer Manipulation for the Dual-Arm Torso — a deployment-ready model bundle with weights, config and inference code. Captured/authored with RGB-D camera in the loop and validated against real Dual-Arm Torso kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.
Demonstration clipfree preview
Left: real-world source footage. Right: a signal derived from it (inter-frame motion field or edge/feature map). Source & license are credited in the clip.
Preview
Free preview — no purchase requiredDeployment
Runs on Jetson AGX Orin; no discrete GPU required.
Frameworks
- PyTorchIsaac Gym
Hardware
- Jetson AGX OrinJetson Orin NanoIntel RealSense D435i
Sensors
- RGB-D cameraIMUevent camera
Specs
- Size: 618 KB
- Duration: 10s
- 172.7 FPS on Intel RealSense D435i
- ROS compatible
- Jetson compatible
- Isaac Sim compatible
Tags
Free
MIT license
drawer-manipulation-onnx-model-bundle-dual-arm-torso.zip · 618 KB
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