Cognitive Robotics

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The following are last minute news you should be aware of ;-)

 01/09/2016: Course will start on second semester of academic year 2016/2017 ... stay tuned!

Course Aim & Organization

This course addresses the methodological aspects of Cognitive Robotics. Cognitive Robotics is about endowing robots and embodied agents with intelligent behaviour by designing and deploying a processing architecture making them apt to deliberate, learn, and reason about how to behave in response to complex goals in a complex world. Perception and action, and how to model them in neural and symbolic representations are therefore the core issues to address. Inspiring models of Cognitive Robotics arise from different disciplines: the neural architectures from neuroscience, the basic behaviours from ethology, motivations and emotions from psychology, the multirobot behaviour from sociology. Those models could be implemented in terms of formal logic, probabilistic, and neural models turning into embodied computational agents.


The course is composed by a blending of theory and practice lectures from the course teacher and the teaching assistants (in order of appearance):

Course Program and Teaching Material

The course comprises theoretical lectures (30h regarding 1-3) and practical sessions (20h regarding 4-5):

  • Cognitive Robotics introduction
    • Cognition and the sense-plan-act architecture
    • Deliberative, reactive, and hybrid approaches
  • Deliberative systems for cognitive robots
    • Symbolic planning and PDDL
  • Bioinspired controllers for autonomous robots
    • Behavior based architectures
    • Neural networks and learning
  • Human-Robot interaction
    • Natural language processing
    • Non verbal human robot interaction
    • (Deep) learning for vision/nlp/control …

Detailed course schedule

A detailed schedule of the course can be found here; topics are just indicative while days and teachers are correct up to some last minute change (they will be notified to you by email).

Note: Lecture timetable interpretation
* On Tuesday, in V.S8-A, starts at 08:15, ends at 10:15
* On Friday, in V.S8-A, starts at 10:15, ends at 13:15
Date Day Time Room Teacher Topic
07/03/2017 Tuesday 08:15 - 10:15 V.S8-A Matteo Matteucci Course Introduction, Robotics and Cognitive Robotics
10/10/2011 Monday 15:15 - 17:15 S.1.3 Matteo Matteucci Intro to neural networks and Perceptron model
13/10/2011 Thursday 14:15 - 16:15 E.G.6 Andrea Bonarini Fuzzy sets
17/10/2011 Monday 15:15 - 17:15 S.1.3 Matteo Matteucci Hebbian learning, the xor problem, from perceptron to backpropagation
20/10/2011 Thursday 14:15 - 16:15 E.G.6 Andrea Bonarini Fuzzy logic
24/10/2011 Monday 15:15 - 17:15 S.1.3 Matteo Matteucci Feedforward topologies and Backpropagation
27/10/2011 Thursday 14:15 - 16:15 E.G.6 Andrea Bonarini Fuzzy rules - design of fuzzy systems
03/11/2011 Thursday 14:15 - 16:15 --- --- No lecture today

Course Evaluation

The course grading is split in a standard written exam (70% of the grade) and a practical activity (30% of the grading):

  • Written examination covering the whole program up to 25/32
  • Small practical project or seminar on a course topic graded up to 7/32
  • Final score will be the sum of the two grades up to 32/32

Possible course projects and seminar activities will be presented later during the semester.

Teaching Material

The course material comprises slides from the teachers and scientific literature, both provided in the following.

Teacher Slides

In the following you can find the lecture slides used by the teacher and the teaching assistants during classes:

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Books and Papers

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Useful Links


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Exam Samples and Results

Not yet existing