General information:
Code:
UBPJO-013
Name:
Cognitive robotics
Profile of education:
Academic (A)
Lecture language:
English
Semester:
Spring
Responsible teacher:
Indurkhya Bipin (bipin@agh.edu.pl)
Academic teachers:
Indurkhya Bipin (bipin@agh.edu.pl)
Module summary

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 Problem-solving and designing in a group, and teamwork. Activity during classes,
Completion of laboratory classes
Skills
M_U001 Designing and implementing robotics systems: connecting sensors, actuators and microcontrollers. Programming robotics systems. Case study,
Completion of laboratory classes
Knowledge
M_W001 How studies of cognitive science helps in designing and implementing natural and more efficient robotics systems. Learning from biology to design more effective robots. Activity during classes,
Case study,
Completion of laboratory classes
M_W002 Knowledge of robotics systems in general. The roles of perception, action and planning in designing robots. Activity during classes,
Case study,
Completion of laboratory classes
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 Problem-solving and designing in a group, and teamwork. + - + - - - - - - - -
Skills
M_U001 Designing and implementing robotics systems: connecting sensors, actuators and microcontrollers. Programming robotics systems. + - + - - - - - - - -
Knowledge
M_W001 How studies of cognitive science helps in designing and implementing natural and more efficient robotics systems. Learning from biology to design more effective robots. + - - - - - - - - - -
M_W002 Knowledge of robotics systems in general. The roles of perception, action and planning in designing robots. + - + - - - - - - - -
Module content
Lectures:
Cognitive Robotics

1. Robots: Beyond the computer metaphor in cognitive science
2. Varieties of embodiment
3. Evolution of robots
4. Developmental robotics
5. Learning intrinsic environment representations from sensory-motor interactions
6. Designing sociable robots
7. Eliza effect and its role in cognitive robotics: Robots and Autistic children
8. Theory of mind for robots
9. Internal value system in cognitive robotics architectures
10. Interaction theory in cognitive robotics

Laboratory classes:
Cognitive Robotics

1. Introduction to sensors and actuators
2. Introduction ro microcontrollers
3. Robotics control paradigms
4. Behavior-based control
5. Evaluation techniques

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 125 h
Module ECTS credits 5 ECTS
Participation in lectures 28 h
Participation in laboratory classes 14 h
Preparation for classes 58 h
Realization of independently performed tasks 25 h
Additional information
Method of calculating the final grade:

The average value is calculated from all grades obtained from lectures and laboratories:
The final grade is calculated as follows:
if sr>4.75 then OK:=5.0 else
if sr>4.25 then OK:=4.5 else
if sr>3.75 then OK:=4.0 else
if sr>3.25 then OK:=3.5 else OK:=3

Prerequisites and additional requirements:

Interest in designing and building robotics systems. Interest in hardware tinkering and software programming.

Recommended literature and teaching resources:

Recommended literature and teaching resources not specified

Scientific publications of module course instructors related to the topic of the module:

Additional scientific publications not specified

Additional information:

None