Mapping Workshop
Every robot's journey begins with a fundamental question: How does a machine see and remember its world? The answer is mapping. Mapping is the essential robotic process that converts the continuous stream of raw data—from sensors like LiDAR, cameras, sonar, and other sensors into a structured, usable representation of the environment. This resulting map provides the robot with the critical spatial awareness needed for safe, intelligent navigation, obstacle avoidance, and autonomous task execution. Eventually, with localization calculations this could become SLAM(Simeltaneous Localization and Mapping).
Goal
This workshop aims to teach the OGM(Occupancy Grid Mapping) algorithim, which is a fundmanental mapping algorithim in robotics.
What You Will Make
- A lidar-observation model showing the data, which the lidar sensor detects
- A raycasting algorithim, which can be used outside of robotics too
- A realtime 3d simulation of robot mapping
If you are interested, please fill out the following form and you will soon get an email for workshop information: form
Workshop Details
Location: Center hall
Date: January 21st, 2026