Text Classification
Transformers
English
bert
humanoid
robotics
task-analysis
complexity-estimation
planning-support
Instructions to use ariefansclub/humanoid-task-complexity-estimator-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ariefansclub/humanoid-task-complexity-estimator-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ariefansclub/humanoid-task-complexity-estimator-v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ariefansclub/humanoid-task-complexity-estimator-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Humanoid Task Complexity Estimator
Overview
Humanoid Task Complexity Estimator is a lightweight classification model designed to estimate the complexity level of human-given tasks before execution.
The model helps humanoid systems determine whether a task is simple, moderate, or complex and decide if additional planning or clarification is required.
Purpose
Many real-world instructions vary in difficulty. By estimating task complexity early, humanoid systems can allocate resources more effectively and reduce execution errors.
Capabilities
- Task complexity classification (low / medium / high)
- Planning trigger recommendation
- Safety escalation signal
Intended Applications
- Pre-planning layer in humanoid robots
- Resource allocation systems
- Task scheduling optimization
- Domestic and assistive robotics
Output Labels
- low_complexity
- medium_complexity
- high_complexity
License
MIT
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