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Robots

Course Description: Introduction to robotics, major classifications of robots, and their applications. Specification and transformation of coordinates and orientations using matrices, and spatial description of objects and transformations between descriptions. Using Denavit-Hartenberg notation to describe object locations. Describing and solving robot motion problems using Jacobian matrices. Solving robot dynamics problems. Trajectory planning. Robot control and programming. Sensors. .
Credit hours: 3
Prerequisites: ME 465
Objectives of the course :

1. Teaching students the principles of robotics.

2. Assisting students in describing rotations in space using the hierarchical pyramidal grid theory and square algebra.

3. Explanation of how to build and solve forward and inverse kinematics models for a robotic arm.

4. Enable students to apply the Hamilton-Hartenberg dynamics convention.

5. Assist students in applying vector transformations in three-dimensional space.

6. Enable students to suggest movement paths.

7. Explanation of how to build a forward/inverse kinematics model for a robotic arm.

8. Clarify how to build simple control laws for a robot.

9. Teaching students to classify robot sensing technologies.

Course outputs :

1.1 Mention the principles of robotics.
1.2 Classify robot sensing technologies.
1.3 Description of Rotation in Space Using the Hierarchical Tetrahedral Mesh Method and Square Algebra.
1.4 Create a forward and inverse dynamic model of a robot arm.
1.5 Create and solve forward/inverse kinematics models for a robot arm.
2.1 Show vector transformations in three dimensions.
2.2 Application of DH convention.
2.3 Path Generation Proposal.
2.4 Examine simple robot control laws.

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  • Last update: 2026-05-18

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