Introduction to Autonomous Systems

Übersicht

ABOUT THE COURSE:

In recent times, technological advances have been focusing on systems that are capable of functioning with no or minimal human intervention and are generically grouped together under overall identifier of ‘Autonomous Systems’. Present course deals with basic aspects and behavioural patterns of autonomous intelligent systems in order to understand issues and processes for their synthesis and in this regard presents concepts of artificial intelligence, real-time systems, logical and uncertain reasoning methods, search and learning techniques and basic concepts of game theory.INTENDED AUDIENCE:

Students and TeachersPREREQUISITES:

Basics of Linear Algebra, Probability and Statistics, Mathematical/Numerical Analysis

Lehrplan

• Introduction to Autonomous Systems
Definition and Scope
Historical Context and Evolution
Applications and Current Trends
• Fundamentals of Artificial Intelligence
Overview of AI Concepts
Key Components of AI in Autonomous Systems
AI vs Human Intelligence
• Real-Time Systems
Characteristics and Importance in Autonomy
Real-time Operating Systems
Examples of Real-Time Autonomous Systems
• Logical and Uncertain Reasoning Methods
Propositional and Predicate Logic
Fuzzy Logic and Bayesian Networks
Handling Uncertainty in Decision Making
• Search and Optimization Techniques
State-Space Search Strategies
Heuristic Search Methods
Optimization Algorithms for Autonomous Systems
• Machine Learning for Autonomous Systems
Supervised, Unsupervised, and Reinforcement Learning
Neural Networks and Deep Learning
Case Studies: Autonomous Vehicles, Robotics
• Game Theory Basics
Concepts of Strategic Interaction
Nash Equilibrium and Game Dynamics
Applications in Autonomous Systems
• Challenges in Autonomous Systems
Ethical and Safety Considerations
Technological Limitations and Future Directions
Regulatory and Societal Implications
• Synthesis and Integration of Autonomous Systems
System Design and Architecture
Communication and Coordination
Testing and Validation Processes
• Course Project
Design of a Simple Autonomous System
Implementation of Key Concepts
Presentation and Evaluation

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Unterrichtet von

Prof. Ashok Joshi

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Fachgebiete

Artificial Intelligence