Navigation and Path Planning in Autonomous Systems
Once an autonomous system understands its environment, it must determine how to move through it safely. Navigation systems translate goals into paths while avoiding obstacles and hazards.
Advertisement
Mapping the Environment
Most autonomous systems build internal maps. These may include terrain data, obstacle locations, and areas of uncertainty.
Planning Algorithms
- A* search
- Rapidly‑exploring Random Trees (RRT)
- Optimization‑based planners
Dynamic Environments
In real‑world situations, obstacles move and conditions change. Autonomous systems must continuously update plans based on new information.
Related Articles
- What Is an Autonomous System?
- How Autonomous Systems Make Decisions
- How Autonomous Navigation Works
- How Autonomous Systems Perceive the World
- Sensor Fusion in Autonomous Systems
- Navigation and Path Planning in Autonomous Systems
- Human-in-the-Loop vs Full Autonomy
- Fail-Safe Design in Autonomous Machines
- Simulation and Testing of Autonomous Systems
- Real-World Applications of Autonomous Systems