Balance Recovery Perception Net — Dual-Arm Torso (RGB-D 224px)
Balance Recovery for the Dual-Arm Torso — a convolutional perception model with the full module definition. 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; 16GB VRAM required.
Frameworks
- OpenCVPyTorch
Hardware
- Jetson AGX OrinJetson Orin NanoRTX 4090
Sensors
- RGB-D camerajoint encoders
Specs
- GPU: 16GB VRAM
- Size: 617 KB
- Duration: 10s
- 24.1 FPS on RTX 4090
- ROS compatible
- Jetson compatible
- Isaac Sim compatible
Tags
$299
Commercial license
balance-recovery-perception-net-dual-arm-torso-rgb-d-224px.zip · 617 KB
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Related assets
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Balance Recovery for the Dual-Arm Torso — an executable behavior tree. 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.
Hospital Ward Gazebo World (.sdf) — Dual-Arm Torso
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Screw Driving for the Dual-Arm Torso — a Gymnasium training environment. Captured/authored with joint encoders in the loop and validated against real Dual-Arm Torso kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.