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AKTU Intelligent Systems and Robotics (BEC053) Syllabus PDF – B.Tech 3rd Year
Intelligent Systems and Robotics BEC053
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Official AKTU syllabus of Intelligent Systems and Robotics (BEC053) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Intelligent Systems and Robotics
Download PDFBEC053 · 3 credits · L-T-P 3-0-0
| Unit | Topics | Lectures |
|---|---|---|
| I | System Modeling: Biological and Cognitive Paradigms for Robot Design, Declarative- Procedural-Reflexive Hierarchy for Decision-Making and Control, Articulated Robots, Joint- Link (Denavit - Hartenberg) Transformations, Mobile Ground Robots, Uninhabited Air Vehicles, Intelligent Agents. | 8 |
| II | Control System Principles: Open- and Closed-Loop Control, Time-domain and Frequency-domain Analysis, Optimality and Constraints, Stability and Performance, Adaptation, Control Actuation, Closed-form and Probabilistic Path Planning. | 8 |
| III | Computing, Measurement, State, and Parameter Estimation: Sensors and Sensing, Formal and Fuzzy Logic, Turing Machines and Concepts of Machine Learning, Analog and Digital Systems, Probability and Error Models, Sensor-Based Estimation, Extended Kalman and Particle Filters, Simultaneous Location and Mapping (SAM). | 8 |
| IV | Decision-Making and Machine Learning: Decision Trees, Bayesian Belief Networks, Classification of Data Sets, Task Planning for Individual and Multiple Agents. | 8 |
| V | Numerical Methods for Evaluation and Search: Monte Carlo Simulation, Genetic Algorithms, Simulated Annealing, Particle Swarm Optimization, Production Systems, Forward Chaining, Backward Chaining, Training and Implementation of Network Architectures, Feed-Forward Networks, Associative Networks, Cerebellar Model Articulation Controller, Deep-Learning Algorithms. | 8 |
Text Books
- H. Asada and J.-J. Slotine, Robot Analysis and Control, J. Wiley & Sons, 1986.C. Asfahl, Robots and Manufacturing Automation, J. Wiley & Sons, 1992.
- D. Auslander, J. Ridgely, and J. Ringgenberg, Control Software for Mechanical Systems, Prentice-Hall, 2002.
- G. Bekey, Autonomous Robots, MIT Press, 2005.
- Albus, J. I., and Meystel, A. M., Engineering of Mind, J. Wiley & Sons, 2001.
- P. Antsaklis and K. Passino, An Introduction to Intelligent and Autonomous Control, Kluwer, 1993.
Reference Books
- J. Craig, Introduction to Robotics Mechanics and Control, Pearson, 2018
- R. Dorf, Robotics and Automated Manufacturing, Reston (Prentice-Hall), 1983
- D. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.
Course Outcomes
- Apply the concept of Open- and Closed-Loop Control.
- Apply Fourier to understand Time-domain and Frequency-domain Analysis
- Apply the fundamental concepts of Closed-form and Probabilistic Path Planning
- Analyze Formal and Fuzzy Logic.
- Analyze Simultaneous Location and Mapping (SAM).
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