Object Handover Perception Net — 6-DoF Arm (RGB-D 480px)
Object Handover for the 6-DoF Arm — a convolutional perception model with the full module definition. Captured/authored with RGB-D camera in the loop and validated against real 6-DoF Arm 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; 6GB VRAM (Jetson) required.
Frameworks
- TensorRTPyTorch
Hardware
- Raspberry Pi 5Ouster OS1-64
Sensors
- RGB-D camera3D LiDARIMU
Specs
- GPU: 6GB VRAM (Jetson)
- Size: 971 KB
- Duration: 10s
- mAP@0.5 = 0.913 on held-out set
Tags
$39
Research Only license
object-handover-perception-net-6-dof-arm-rgb-d-480px.zip · 971 KB
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Related assets
6-DoF Arm Object Handover Behavior Tree (py_trees)
Object Handover for the 6-DoF Arm — an executable behavior tree. Captured/authored with RGB-D camera in the loop and validated against real 6-DoF Arm kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.