| | --- |
| | license: apache-2.0 |
| | language: |
| | - tr |
| | - en |
| | pipeline_tag: text-generation |
| | tags: |
| | - robotics |
| | - planning |
| | - embodied-ai |
| | - instruction-following |
| | --- |
| | |
| | # Robot Brain Planner |
| |
|
| | Robot Brain Planner is a conceptual planning model designed for household service robots and embodied AI agents. |
| |
|
| | The purpose of this model is to interpret natural human instructions and convert them into structured step-by-step action plans that a robot can safely execute in real-world environments. |
| |
|
| | ## Capabilities |
| |
|
| | - Understand human natural language commands |
| | - Generate safe action plans |
| | - Avoid fragile objects |
| | - Handle obstacles |
| | - Produce recovery steps after failure |
| | - Assist domestic service robots |
| |
|
| | ## Example |
| |
|
| | **Instruction:** |
| | > Clean the kitchen table but avoid knocking over glasses |
| |
|
| | **Planned Output:** |
| | 1. Approach table slowly |
| | 2. Detect fragile objects |
| | 3. Move glasses to safe zone |
| | 4. Clean surface |
| | 5. Return objects to original position |
| |
|
| | ## Interactive Demo |
| |
|
| | You can test the reasoning layer here: |
| | https://huggingface.co/spaces/vosap52/robot-brain |
| |
|
| | ## Intended Use |
| |
|
| | This model acts as a high-level reasoning module for: |
| | - home assistant robots |
| | - indoor navigation robots |
| | - service automation agents |
| | - embodied AI research |
| |
|
| | This is not a control model. |
| | It produces structured plans, not motor commands. |
| |
|
