doc/docs : Implement vision_language_action for robotics control

[IBOCATA]

Added vision_language_action tool for robotic trajectory generation using image input and instructions.

Description

This PR upgrades the Hive AI Agent with a robotics-specific perception and control stack. It moves the agent from "Reasoning" to "Physical Execution" by integrating a multimodal transformer architecture optimized for real-time automation.

Type of Change

• Bug fix (non-breaking change that fixes an issue)
• New feature (non-breaking change that adds functionality)
• Documentation update

Related Issues

Fixes #2805

Changes Made

✨ Key Architectural Components
OpenVision Encoder: A cost-effective, open-source vision encoder (based on the OpenVision family) that provides spatial embeddings from camera feeds.
Laplace Transformer: A novel implementation of the Transformer architecture where the time-domain attention is mapped to the s-domain (Laplace). This allows the agent to handle differential equations of motion as algebraic operations, ensuring smooth, vibration-free robotic movements.
Encoder-Decoder Automation: Uses a VAE-based encoder to chunk high-dimensional sensor data into actionable "action chunks".

Testing

🚦 Testing & Deployment Roadmap
Test Case Method Expected Outcome
Sim-to-Real Transfer NVIDIA Isaac Sim Agent performs task in simulation with 90% fidelity.
Oscillation Check Laplace Validation Motor torque remains smooth even under sudden velocity changes.
OpenVision Bench Vision Comparison Encoder matches OpenAI CLIP performance for object detection.

Checklist

• My code follows the project's style guidelines
• I have performed a self-review of my code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

🛠️ Assignee Handover (Robotics Specialization)
📋 Final Checklist for Robotics Reskill
Apply Labels: Add robotics and micro-fix (if patching logic) or major-feature (for full stack) via GitHub Mobile.
Hardware Check: Ensure the encoder drivers are compatible with the target robotic hardware (e.g., ABB YuMi or openDog).
Safety Gate: The LaplaceTransformer must be wrapped in a Signal Temporal Logic (STL) safety layer to prevent obstacle collision.