Human-robot interactions and cognitive architectures

The aim of this module is twofold:

Understand the challenges of human-robot collaboration (cobotics):

Exoskeletons,
Robotics,
Cobotics,


Understand cognitive architectures:

Study of the perceptual, motor and deliberative phases of an intelligent agent's behavior,
Main forms of memory and learning,
Role of emotions and motivations, levels of consciousness, thought, intention,
Modeling cognitive processes.
Decision theory

Part 1: Human-robot interactions

Introduction to cobotics
Design of cobotic systems
Exoskeletons, prostheses
Cobotics and human factors

"Project philosophy":

Implementation of experiments with NAO and Pepper robots, Universal Robot cobotic arms, an exoskeleton... to address human-robot collaboration issues.

Speakers: Jean-Marc Salotti, Eric Ferreri, David Daney, Maxime Hardouin + outside
Part 2: Cognitive architectures (speaker: F. Alexandre, 12h)
How can we describe and formalize, with a view to modeling, the behavioral characteristics of an intelligent agent learning to exploit the resources of an unknown environment, drawing on a set of theories and principles from the cognitive sciences?
What are the main forms of memory and learning?
What are the different possible phases in the behavior of an embodied agent in an uncertain environment?
How are the different perceptual, motor and deliberative phases organized, or other phases at different levels of arousal?
How can we describe and model perceptual choice, decision-making, reasoning, planning, exploration and creativity?
What are the roles of emotions and motivations, and how can we describe different levels of consciousness, thought, intention, etc.?
What are the main cognitive theories describing the characteristics of these concepts in humans, how can we compare them with conventional data processing and statistical algorithms, and how can we analyze their differences?
How can these principles be cross-referenced with elements from different fields (cognitive neuroscience, philosophy, HCI, medicine)?
This overview will also provide an opportunity to discuss proximities and propose theoretical foundations for many concepts in artificial intelligence and machine learning.

Cognitics