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Chapter 13: Path Planning

Learning Objectives​

By the end of this chapter, you will:

  • Understand path planning algorithms
  • Learn about configuration space
  • Understand rapidly-exploring random trees (RRT)
  • Learn about real-time path planning

Introduction​

Path planning allows robots to navigate from one point to another while avoiding obstacles.

Placeholder Content​

Topics to be covered:

  • Configuration space
  • Graph-based planning (Dijkstra, A*)
  • Sampling-based planning (RRT, PRM)
  • Real-time planning

Did You Know?​

Interesting path planning fact.

Real-World Examples​

  1. Autonomous Vehicles - Real-time path planning
  2. Warehouse Robots - Multi-robot path planning
  3. Humanoid Robots - Footstep planning

Key Takeaways​

  • To be added

Try It!​

Path planning visualization.

Exercises​

  1. Question
  2. Question
  3. Question

Further Reading​

  • Chapter 12: Kinematics and Motion
  • Chapter 14: Control Systems

Next Chapter: Chapter 14: Control Systems