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Online Course

Foundations of Cognitive Robotics

Indian Institute of Technology Kanpur and NPTEL via Swayam

Overview

With the rapidly advancing process of inclusion of robots from Industry to the Social Arena, the functional requirement of the robots and corresponding human expectations have increased tremendously. However, in order to fully comprehend the complexities of such robot design, one needs to possess an over-all idea of the field. The objective of this course is to introduce students, researchers to this new field of robotics with the help of illustrative models, facts and relevant theories. The course has been designed by carefully maintaining a balance between biology, engineering and control system design so that it can attract a broad group of people interested in the interdisciplinary field.
INTENDED AUDIENCE :
None
PREREQUISITES : School level science courses and desire to expand horizon of knowledgeINDUSTRIES SUPPORT :Robotics Industry, Neuroscientists, Psychologists, Research scholars in the field of Social Robots

Syllabus

COURSE LAYOUT

Week 1:Neural Signaling & Sensory System
Module 1:Introduction: Anatomy of human brain, Robot and Human Robot Interaction
Module 2:Mechanisms of neural excitability and propagation: Classical Model
Module 3:New Concepts in Axonal Excitation
Module 4:Functioning of Sensory systemWeek 2:Intelligence, Thinking, Artificial Intelligence and Theory of Intelligence
Module 1:Thinking, Cognition, and Intelligence
Module 2:Defining Intelligence - Embodiment and Its Implications
Module 3:Role of Neuroscience and Bio robotics
Module 4:Synthetic Methodology for IntelligenceWeek 3:Intelligent System Design and Cognition Development
Module 1:Properties of Complete Agents
Module 2:Agent Design Principle
Module 3:Developmental Robot Design
Module 4:Matching brain and Body DynamicsWeek 4:Control of Intelligent Systems- AI based Approach
Module 1:Artificial Neural Networks (ANN)
Module 2:Fuzzy Logic
Module 3:Genetic Algorithms and Other Nature Inspired Methods
Module 4:Optimal Control using ANN

Taught by

Prof. Bishakh Bhattacharya

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