Robotic Mapping and Trajectory Generation

In the "Robotic Mapping and Trajectory Generation" course, you will delve into the intricacies of robotics by learning basic inverse kinematics, sensor signal processing, and uncertainty management. This specialized program introduces advanced topics such as range finders, homogeneous transforms, mapping representations, probabilistic mapping, and trajectory following. It also emphasizes hands-on experience through practical activities and real-world applications.

Through interactive modules, you will gain expertise in utilizing feedback control techniques for inverse kinematics, coordinating multi-dimensional sensor signals, and comprehending probabilistic representations to address measurement noise-derived uncertainty. The course also offers insights into mapping techniques, including basic representations, topological maps, grid maps, and probabilistic map representations, providing a comprehensive understanding of mapping concepts in robotics.

The program concludes with a focus on trajectory following, including the application of differential kinematics and control. By the end of this course, you will possess the skills to implement mapping and trajectory generation, equipping you to tackle real-world challenges in the field of robotics.