Humanoid Pick-and-Place Behavior Tree (py_trees)
Pick-and-Place for the Humanoid — an executable behavior tree. 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
CPU/GPU host deployment; 8GB VRAM required.
Frameworks
- ONNX Runtime
Hardware
- RTX 3060Ouster OS1-64RTX 4090
Sensors
- RGB-D cameraGPS/RTKforce-torque sensor
Specs
- GPU: 8GB VRAM
- Size: 1.69 MB
- Duration: 10s
- Validation loss 0.3561 after 107 epochs
Tags
Free
Enterprise license
humanoid-pick-and-place-behavior-tree-py-trees.zip · 1.69 MB
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