Robot Navigation and Mapping
Artificial Intelligence · Further Education · Robotics and Autonomous Systems
This unit delves into the fundamentals of robot navigation and mapping, equipping students with the knowledge and skills to enable robots to localize themselves, construct maps of their surroundings, plan paths, and avoid obstacles.
Zum Üben gibt es 56 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Localization Algorithms (e.g.
- Kalman Filter
- Particle Filter)
- Mapping Techniques (e.g.
- SLAM
- Occupancy Grid Mapping)
- Path Planning Algorithms (e.g.
- Dijkstra's Algorithm
- A*)
- Obstacle Avoidance Methods (e.g.
- Laser Scanners
- Sonar Sensors)
Stichworte
- Localization
- Mapping
- Path Planning
- Obstacle Avoidance
- Particle Filter
- A*
- ROS