model_name string | model_type string | input_features list | output string | loss string | optimizer string | metrics list |
|---|---|---|---|---|---|---|
han-grasp-force-optimizer-v1 | regression | [
"object_weight_kg",
"object_surface_friction",
"grip_contact_area_cm2",
"finger_joint_angle_deg",
"actuator_current_amp",
"object_fragility_index"
] | required_grip_force_newton | mse | adam | [
"mae",
"rmse",
"r2"
] |
Grasp Force Optimizer
Objective
Memprediksi gaya genggaman optimal untuk mencegah objek terjatuh atau rusak.
Input
- object_weight_kg
- object_surface_friction
- grip_contact_area_cm2
- finger_joint_angle_deg
- actuator_current_amp
- object_fragility_index
Output
- required_grip_force_newton
Architecture
- Dense(256) + ReLU
- BatchNormalization
- Dense(128) + ReLU
- Dropout(0.3)
- Dense(64) + ReLU
- Dense(1) + Linear
Loss
MSE
Metrics
MAE, RMSE, R²
- Downloads last month
- 11