Activity:Maze Solving
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| Maze Solving | |
|---|---|
| Type | Activity |
| Difficulty | Beginner |
| Real-World Uses | Autonomous navigation in unknown environments, search and rescue operations, warehouse robots navigating aisles |
| Required Capabilities | Capability:Bump Sensing or Capability:Time-of-Flight Sensing, Capability:Differential Drive |
| Status | Stub - Not yet implemented |
Maze Solving is an activity where a robot navigates through a cardboard maze using sensors to detect walls and obstacles.
Overview
This is a stub page. This activity is not yet implemented in any BRS robot. This page exists to:
- Document the concept for future implementation
- Invite community members to build it
- Provide a starting point for discussion
Real-World Applications
Autonomous navigation in unknown environments, search and rescue operations, warehouse robots navigating aisles
Required Capabilities
To perform this activity, a robot needs:
Possible Approaches
Bump-Based (Beginner)
- Use bump switches to detect collisions with walls
- Follow left-hand or right-hand rule
- Simple reactive algorithm
Distance-Based (Intermediate)
- Use time-of-flight or ultrasonic sensors to detect walls before collision
- Implement wall-following behavior
- Smoother navigation than bump-based
Mapping-Based (Advanced)
- Use LIDAR to create a map while exploring
- Implement SLAM (Simultaneous Localization and Mapping)
- Find optimal path once maze is mapped
Contributing
Want to implement this activity? Here's how:
- Add the required capabilities to your robot (sensors/actuators)
- Implement the behavior (algorithm) in code
- Test and document your implementation
- Create an Implementation page (e.g.,
YourRobot:Maze Solving Implementation) - Update this page to link to your implementation
- Share on Discord or the Mailing List
See Also
- Activities - All activities
- Capabilities - Hardware abilities
- Robotics Ontology - How activities fit into BRS knowledge structure