Lectures related to Robot navigation

Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.

Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.

Introduces a model-based approach for efficient robot navigation in cluttered environments.

Details a program guiding a robot back to base on Mars.

Covers the implementation of obstacle avoidance using Webots and Python with the Maris Robot.

Explores Thymio navigating a tunnel with colored lights to signal danger.

Involves programming a robot to navigate a dangerous sandstorm on Mars.

Explores a program for Timio to navigate Mars successfully using sensor-based instructions.

Explores the history, technical properties, and preprogrammed robot modes of Thymio.

Explores Kalman filters, flocking behaviors, and decentralized control in distributed intelligent systems.

Thymio successfully navigates a circle to push objects beyond its perimeter.

Covers the basics of mobile robotics focusing on localization, discussing sensors, uncertainty handling, GPS, and motion models.

Explores robot localization through positioning systems, odometry, sensor fusion, and error modeling.

Explores the various modes of Thymio robot and its sensor interactions.

Covers obstacle avoidance and navigation strategies in mobile robotics using sensors and potential fields.

Showcases a robot navigating a road using sensors to avoid collisions.

Covers programming a robot to navigate autonomously and calibrate its movements.

Showcases how the subsumption architecture constructs a robust design in a mobile robot.

Covers the essential components of a robot and various programming languages available for robots.

Introduces the rigorous approach to sensor fusion for modern applications.