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Robotics and Computer Vision

This course focuses on robotic system design and machine vision, integrating sensors, actuators, and control systems.
Robotic System Development: Covers kinematics, dynamics, and embedded control for robotic structures.
Machine Vision: Introduces image processing, vision-based control, and simulation techniques.
System Integration: Students design, implement, and integrate robotics and vision systems for real-world applications.
By the end, students gain practical expertise in robotic automation and vision-based navigation.
 

Course ID
MNG 635
Level
Postgraduate
Credit Hours
CH:3

G1: Translate mechatronics systems and robots into mathematical models and simulations.
G2: Critically evaluate robotic systems in comparison with state-of-the-art robotic research.
G3: Perform Multiphysics modeling and simulation for Mechatronics, Robotics, Control, and Embedded systems.
G4: Develop, test, and integrate robotics hardware and software into fully functional systems.