I want to get comfortable in Webots so I can reliably simulate distance-sensor data and turn it into usable mapping and localization results. My main need is a series of practical, screen-shared walk-throughs that start from a blank world and end with a robot cruising around, logging range readings, and building a basic map. Ideally we will cover: configuring a LiDAR-style or ultrasonic distance sensor in Webots, publishing the data in real time (Python or C++ is fine), and exporting it so I can post-process or feed it directly into a simple SLAM algorithm. Along the way I’d like to understand best practices for sensor placement, noise models, and performance tuning inside the Webots environment. Deliverables • A ready-to-run Webots world file with the distance sensor correctly set up • Annotated source code that captures the sensor output and stores it for mapping / localization • A concise step-by-step guide (or recorded session) so I can replicate the workflow on my own after the engagement If you have solid experience with Webots’ sensor APIs and can explain concepts clearly as we build, let’s schedule our first session.