Pick-and-Place Perception Net — Humanoid (RGB-D 480px)
Pick-and-Place for the Humanoid — a convolutional perception model with the full module definition. Captured/authored with RGB-D camera in the loop and validated against real Humanoid 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 Orin Nano; 16GB VRAM required.
Frameworks
- OpenCV
Hardware
- Intel RealSense D435iJetson Orin Nano
Sensors
- RGB-D camera2D LiDAR
Specs
- GPU: 16GB VRAM
- Size: 365 KB
- Duration: 10s
- mAP@0.5 = 0.625 on held-out set
- Jetson compatible
- Isaac Sim compatible
Tags
$19
MIT license
pick-and-place-perception-net-humanoid-rgb-d-480px.zip · 365 KB
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