PROFESSIONAL ELECTIVES
Electives in Artificial Intelligence
| Course Name | Drones and Robotics |
| Course Code | 23CSE478 |
| Program | B. Tech. in Computer Science and Engineering (CSE) |
| Credits | 3 |
| Campus | Amritapuri ,Coimbatore,Bengaluru, Amaravati, Chennai |
Electives in Artificial Intelligence
Introduction to Autonomous vehicles and drones, Modeling Kinematics and Dynamics – Robot manipulators, Sensors, motors, motor controllers, Translations and rotations, Probabilistic state estimation, Bayes and Kalman filters
Robotics – Robotic perception, Localization and mapping, Machine learning in robot perception, Planning control, path planning and trajectory planning.
Unmanned Aircraft Vehicles, drones – multi-vehicle navigation and behavior, ML and Reinforcement Learning for Autonomous Vehicles.
Course Objectives
Course Outcomes
CO1: Understand fundamentals of autonomous drones.
CO2: Apply principles of perception, localization, and mapping.
CO3: Analyze multi-vehicle behavior.
CO4: Analyze Path planning and control.
CO-PO Mapping
| PO/PSO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO
10 |
PO11 | PO12 | PSO1 | PSO2 |
| CO | ||||||||||||||
| CO1 | 3 | 3 | 3 | 3 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 3 |
| CO2 | 3 | 3 | 3 | 3 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 3 |
| CO3 | 3 | 3 | 3 | 3 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 3 |
| CO4 | 3 | 3 | 3 | 3 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 3 |
Evaluation Pattern: 70:30
| Assessment | Internal | End Semester |
| Midterm | 20 | |
| Continuous Assessment – Theory (*CAT) | 10 | |
| Continuous Assessment – Lab (*CAL) | 40 | |
| **End Semester | 30 (50 Marks; 2 hours exam) |
*CAT – Can be Quizzes, Assignments, and Reports
*CAL – Can be Lab Assessments, Project, and Report
**End Semester can be theory examination/ lab-based examination/ project presentation
Textbook(s)
Saha S. K., “Introduction to robotics”. Second Edition, Tata McGraw-Hill Education, 2014.
Reference(s)
Barnhart, R. Kurt, Douglas M. Marshall, and Eric Shappee, eds. “Introduction to unmanned aircraft systems”. Third Edition, CRC Press, 2021.
Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza (2018), “Introduction to autonomous mobile robots”, MIT press.
Baichtal, “Building Your Own Drones: A Beginners’ Guide to Drones, UAVs, and ROVs”. Que Publishing, 2016.
Gerhard Weiss, “Multiagent System”, Second Edition, MIT Press, 2013.
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