MC907/MO651

Module Informationn
Professor: Esther Colombini

System for submitting assignments: Moodle [Online Submission Manager]

Support: weakly on wednesdays @16hs-17hs, room #5, IC/Unicamp.

Course Plan
Class schedule
Class Day Time Room
A Monday 14:00h - 16:00h CC52
Wednesday 14:00h - 16:00h CC52
News
01/08/2019: the classes will start on the 12/08/2019.
04/09/2019: Project 1 specification.
20/09/2019: Project 1 New dealine - 29/09/2019
01/10/2019: Project 2 specification.
05/11/2019: Project 3 specification.
05/11/2019: Project 4 specification.
18/11/2019: Project 1 grades.
18/11/2019: Project 2 grades.
14/12/2019: MC907_MO651 final grades.
Complementary material
Short sotry - Last Question by Isaac Asimov
Report model
Python client to access the V-REP simulator
C++ client to access the V-REP simulator
skfuzzy: a pyhton fuzzy library
scikit-fuzzy: a pyhton fuzzy library
fuzzylite: a C++ library
Recommended RL lectures.
Particle Filter example.
Great Kalman Filter notebooks.
Kalman Filter examples.
Material das Aulas
Date Content Material
12/08/19 Module introdutcion.
Next class readinng: The Seven Deadly Sins of AI Predictions
14/08/19 History of Robotics, applications and examples. Robotics primitives.
21/08/19 Perception.
Activity for next lecture:
26/08/19
28/08/19 Perception II - Feature extraction.
09/09/19 Locomotion I.
11/09/19 Locomotion II.
16/09/19 Locomotion III.
18/09/19
23/09/19 Control I.
25/09/19 Control II. Next class reading assignment: PD Fuzzy
Papers about controllers
30/09/19
14/10/19 Robotics Paradigms.
16/10/19
21/10/19 Behavior Coordination and Reinforcement Learning.
23/10/19
28/10/19
30/10/19 Localization I
04/11/19
06/11/19
11/11/19 Localization II
13/11/19
27/11/19 Final project presentation.

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