Navigation, Positioning and Path Planning for Autonomous RobotsLaajuus (2 cr)

Objective

The student will be able to apply positioning, mapping and navigation algorithms to mobile robots. They will master the key principles of SLAMs, sensor fusion and path planning and understand their role in robot autonomy. The student will learn how to use software frameworks in simulation exercises and how to analyse robot motion in simulated environments. They will understand obstacle avoidance algorithms and be able to plan the robot's path in a dynamic environment.

Content

1. Location and mapping (SLAM) in practice
2. Route planning and obstacle avoidance

Qualifications

Navigation, positioning and path planning for autonomous robots (2 ECTS) requires knowledge of basic robotics concepts and sensor principles. Basic knowledge of programming and algorithm application is recommended.

Assessment criteria, satisfactory (1)

The Student
• knows the principles of SLAM and can carry out a simple mapping exercise.
• knows how to use predefined route planning algorithms.

Assessment criteria, good (3)

The Student
• can apply SLAM and analyse the effects of sensor fusion on positioning.
• be able to carry out effective route planning in a dynamic environment.

Assessment criteria, excellent (5)

The Student
• can develop and optimise a SLAM system for different environments.
• can combine obstacle avoidance and route optimisation with autonomous navigation.

Assessment criteria, approved/failed

Navigation, positioning and route planning for autonomous robots (2 ECTS) requires that the student is able to implement positioning and mapping solutions in a simulation environment, is able to use and modify route planning algorithms and successfully completes simulation exercises and related reporting. Failure means that the student cannot apply SLAM methods or use sensor fusion, route planning and obstacle avoidance do not work in practical exercises, and simulation exercises are not completed or reporting is incomplete.

Further information

Navigation, positioning and path planning for autonomous robots (2 ECTS) includes theory, exercises and simulations. Exercises are performed in programming environments where positioning, mapping and route planning are tested.