Humanoid Energy-Aware Distributed Planner
This model performs energy-conscious
task planning and distribution
across decentralized humanoid agents.
It integrates battery prediction,
task energy modeling,
and cooperative load balancing.
Objective
To minimize total network energy usage
while maintaining performance efficiency.
Architecture
- Energy State Encoder
- Task Cost Predictor
- Cooperative Distribution Layer
- Optimization Feedback Loop
Capabilities
- Predictive energy allocation
- Battery-aware scheduling
- Cooperative load sharing
- Distributed optimization
Trained On
han-energy-optimization-coordination-dataset-v1
Part of
Humanoid Network (HAN)
License
MIT
