Energy Efficiency Optimizer
Overview
Model ini memprediksi konsumsi energi humanoid
berdasarkan parameter pergerakan dan beban kerja.
Input Features
- walking_speed_mps
- payload_weight_kg
- joint_activation_rate
- battery_voltage
- terrain_incline_deg
Output
- predicted_energy_consumption_joule
Model Type
Regression
Architecture
- Dense(256) + ReLU
- Dense(128) + ReLU
- Dense(64) + ReLU
- Dense(1) + Linear
Loss
Mean Squared Error (MSE)
Optimizer
Adam
Metrics
MAE
RMSE
R² Score
Application
Energy-aware navigation and planning
