Didactic material 2018/2019

Didactic material for the course of Robotic Perception and Action – 2019/20


Mobile Robotics

(note in the italian versione there are some notes of the teacher)

Point to Point Path Planning in chained form

Exercises in Maple:

Global methods for Path Planning

Simultaneous Location And Mapping – SLAM

Sensors and Sensor Fusion


Sensor Fusion

  1. Sensor Fusion in Frequency: Complementary Filtering
  2. Statistical Sensor Fusion
  3. Machine learning
  4. Exercise on sensor Fusion

Additional material

The following are lessons not given in 2018 but useful to understand in deep the SVD and PCA tools:

Mixed Reality


General material on Unity and C#

State Machine

Unity Projects


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