Model Details of humanoid-context-action-predictor
Humanoid Context Action Predictor
Humanoid Context Action Predictor is a lightweight decision model
designed to predict the next action of a humanoid unit based on
environmental context and internal state signals.
This model is suitable for robotics simulation,
autonomous agents, and distributed humanoid systems.
Model Description
The model takes structured contextual input such as:
environment type
detected object
energy level
task priority
and predicts the most appropriate action.
Intended Use
Robotics simulation
Warehouse automation agents
Autonomous decision testing
AI research experiments
Training Data
Trained on structured synthetic datasets
representing humanoid context-action mappings.
Evaluation
The model is evaluated using accuracy
on held-out structured decision scenarios.
License
MIT
Runs of AroticMerch humanoid-context-action-predictor on huggingface.co
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3-day runs
2
7-day runs
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