Robotics Text Summarization Skill

When to Use This Skill

• User asks to "summarize robotics text" or "condense content"
• User provides research papers, lecture notes, or articles related to robotics, humanoid systems, or Physical AI
• User wants a structured, easy-to-read summary with key concepts highlighted

Procedure

1. Understand the text: Identify the main topic, context, and target audience
2. Extract key points: Focus on important concepts, formulas, techniques, and findings
3. Organize content: Group information logically (e.g., Introduction → Methods → Applications → Conclusion)
4. Summarize: Condense into concise paragraphs or bullet points without losing critical information
5. Optional highlights: Include formulas, diagrams references, or real-world examples if relevant

Output Format

Title/Topic: Name of the text or article
Summary: 3-5 concise paragraphs or numbered bullet points covering key concepts
Key Terms / Formulas: List of important terms, variables, and formulas mentioned in the text
Applications / Insights: Brief description of practical implications or real-world applications

Quality Criteria

• Summaries should be concise but comprehensive
• Preserve technical accuracy and critical information
• Use clear language, suitable for students or engineers in robotics
• Include formulas or definitions if central to the text

Example

Input: "Summarize a lecture note on kinematics and dynamics of humanoid robots"

Output:

• Title/Topic: Kinematics and Dynamics of Humanoid Robots
• Summary:
  1. Humanoid robots require precise kinematic modeling to compute joint positions and velocities.
  2. Forward and inverse kinematics allow mapping between joint angles and end-effector positions.
  3. Dynamics involves calculating forces and torques based on mass, inertia, and acceleration.
  4. Control strategies use these models to ensure smooth and stable motion.
• Key Terms / Formulas: Forward kinematics, inverse kinematics, τ = I * α, Jacobian matrix
• Applications / Insights: Essential for designing walking, grasping, and manipulation tasks in humanoid robots