Course Overview
Dive into physical robotics and industrial control systems. Program robotic kinematics, integrate LiDAR, ultrasonic, and optical sensors, and master real-time control algorithms.
Course Curriculum & Modules
01Module 1: Robotic Kinematics & Inverse Kinematics
02Module 2: ROS 2 (Robot Operating System) Architecture
03Module 3: PID Motion Control Algorithms
04Module 4: 3D Robot Simulation with Gazebo
05Module 5: Multi-Axis Robotic Arm Programming
Automation Engineering Department Pathway
Automation Engineering bridges robotics, industrial sensors, PLC logic controllers, SCADA smart factory integration, and enterprise-wide predictive maintenance algorithms for Industry 4.0 factories.
Computer & Hardware Requirements
Processor:Intel i5/i7 or AMD Ryzen 5/7
Memory (RAM):16 GB RAM
Graphics Card:Dedicated GPU for 3D physics simulation (ROS/Gazebo)
Storage:200 GB SSD
Display:1080p display
Key Learning Outcomes & Benefits
- ✓Program robotic arms and mobile autonomous platforms.
- ✓Work with Robot Operating System (ROS 2) and Gazebo simulators.
- ✓Implement PID control loops for precise motor motion.
- ✓Integrate industrial sensor suites into feedback mechanisms.