Path Planning
Path planning is where algorithms meet embodied systems. In engineering terms, it turns a physical map, motion constraints, and safety margins into an executable route.
This topic is covered in depth in the Autonomous Systems course because that course carries the full algorithmic treatment: configuration space, A*, RRT/RRT*, replanning, and implementation details.
Why It Matters Here
From the engineering side, path planning connects directly to:
- Graphs and shortest-path algorithms
- Control Theory Roadmap because the planned path must still be tracked by a controller
- Robotics and Drones Roadmap because vehicle constraints shape what paths are feasible
Study Path
- Read Path Planning for the full concept note.
- Work through Tutorial - Path Planning in Python for implementation.
- Return here when you want to connect planning to actuators, sensing, and embedded constraints.