Introduction to Robotic Manipulation

Why Robot Manipulation?

Robot manipulation is one of the most challenging problems in robotics:

• Open-world complexity: Real environments are unstructured and unpredictable
• Contact-rich tasks: Interactions with objects require force and position control
• Perception-action loops: Tight coupling between sensing and acting

Course Goals

1. Build intuition for manipulation problems
2. Learn systematic analysis and design methods
3. Implement working systems in simulation
4. Bridge theory and practice

Key Concepts

The Manipulation Pipeline

Perception → Planning → Control → Actuation
     ↑                        ↓
     ←←←←←←←← Feedback ←←←←←←←←←

Configuration Space

• Robot configuration: Joint angles/positions
• Task space: End-effector pose (position + orientation)
• Workspace: Set of all reachable task-space positions

Grasp Types

• Enclosure grasp: Fingers surround object
• Precision grasp: Fingertip contact only
• Power grasp: Force-closure with palm

What Makes Manipulation Hard?

1. Uncertainty: Sensor noise, model errors
2. Contact: Friction, compliance, instability
3. Combinatorics: Many possible configurations
4. Real-time constraints: Must react quickly

The Drake Framework

Drake is an open-source C++/Python toolbox for: - Modeling mechanical systems - Trajectory optimization - Control system design - Real-time simulation

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