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6 results
Underwater ROV Object Handover MLP Policy (PyTorch)
Object Handover for the Underwater ROV — a trained Object Handover policy network with reference loading code. Captured/authored with joint encoders in the loop and validated against real Underwater ROV kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.
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.
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.
Liquid Pouring Perception Net — Quadruped (RGB-D 320px)
Liquid Pouring for the Quadruped — a convolutional perception model with the full module definition. Captured/authored with RGB-D camera in the loop and validated against real Quadruped kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.
Humanoid Bin Picking MLP Policy (PyTorch)
Bin Picking for the Humanoid — a trained Bin Picking policy network with reference loading code. Captured/authored with joint encoders in the loop and validated against real Humanoid kinematics. Drop-in ready for training, sim-to-real transfer, or on-robot deployment.
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.