Path Planning & Trajectory Optimization Using C++ & ROS

A vehicle that is autonomous on the road can be considered to be independent. It must be aware of all obstacles and make decisions.

Path Planning and Trajectory Optimization are about analyzing the path. Let's suppose that the car is traveling on the road and must reach the destination. Autonomous vehicles can use path planning to determine the best route to get from one place to the next. The Trajectory Optimization, on the other side, estimates the speed at which the vehicle must travel to reach its destination.

Robotics is one of the most important applications of this topic. Robots are often required to move objects from one place to the next. Path planning and trajectory optimization assist the robot in this task.

This gives us an insight into how crucial it is to know the basics of trajectory optimisation and path planning when designing robots of any type. We have created a course on trajectory optimisation and path planning to help you explore the possibilities of robot movement.

Each week, the course is broken down into 12 weeks. Each week includes practical sessions, followed by a challenge at the end. These practical sessions and challenges were created to help students put their learning into practice. Students will also be required to complete 2 projects that allow them to apply the skills they have learned.