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Learning Objectives
Human mind and body are an inexhaustible source of inspiration for engineering and design. Present day science studies the very organ that controls our behavior – the brain. Not only the physical behavior, but also our emotions, social interactions, or meditation experience are measur┬Čable as neural activations and thus can be formalized. Creating artifacts that behave in a realistic and socially appropriate way is a feasible task if we embed models that profoundly simulate the brain function instead of the observable behavior. Neuro-robotics is an expanding area of research that yields paradigm shift after every significant discovery in science, but in its core remains the simulation of how the neurons, the interactions between them, or the functional interactions of brain areas control the physical body in its observable behavior, as well as its emotional reaction, and social interaction.
Completing this module will give you a tool for making your products able to learn and behave aotonomously, being able to show elements of natural behavior.
Target Competency Area(s), Learning Objectives and Level(s):
This module aims at developing competencies at integrating technology area. In particular the sub competency 2.2, implying design and implementation of the internals of a product, system or service, resulting in autonomous and intelligent behaviours, as well as design of interfaces between an intelligent product and its environment will be explored. The learning objectives imply understanding the principle of using life-inspired mechanisms for controlling the behaviour of a product or a system in situations when emergency or sociability are needed.

Learning Activities:
The students will learn the principles of brain-like control, will design a task of sociable, or other emergent behaviour, implement it via computer program and demonstrate it via the behaviour of a physical robot, controlled by the developed program.

Computer program, demonstrated on a robot platform.
Report, describing the task, the expected observable behaviour and the outcome of their robotics experiment. An analysis of the results and suggestions for application in a design task will be additionally valued.

More info about this master module: DBD04 – Learning Robots