Humanoid Adaptive Learning Engine
This model enables humanoid robots to improve task performance
based on previous execution outcomes.
It supports continuous learning inside the Humanoid Network.
Capabilities
- Performance evaluation
- Experience-based adaptation
- Skill improvement tracking
Input
- Task history
- Success and failure signals
- Execution metrics
Output
- Updated task strategy
- Learning feedback
Part of
Humanoid Network (HAN)
License
MIT
