Robot Manipulation and Control An In-Depth Course

This course is designed for robotics engineers, automation professionals, and researchers who want to master the principles of robotic manipulation and control. Whether you're working on industrial robots, robotic arms, or autonomous systems, this course provides a comprehensive guide to kinematics, dynamics, and control strategies for robotic manipulation.

What You’ll Learn:

🤖 Fundamentals of Robot Manipulation – Understand robot arm configurations, coordinate systems, and workspace limitations.
🔗 Kinematics & Motion Planning – Learn forward and inverse kinematics, trajectory planning, and path optimization for smooth robot motion.
⚙ Dynamics & Force Control – Master torque-based control, force sensing, and compliance control to improve precision and safety.
🛠 PID & Advanced Control Strategies – Implement PID control, adaptive control, and machine learning-based approaches for real-time robotic control.
📡 Sensors & Actuators – Integrate encoders, IMUs, force-torque sensors, and motor controllers for accurate robot movement.
🔌 Robot Programming & Simulation – Use Python, ROS (Robot Operating System), and MATLAB to program and simulate robotic manipulators.
🚀 Hands-On Applications – Apply learned concepts to industrial automation, medical robotics, and autonomous robotic arms.

By the end of this course, you’ll be able to design, control, and optimize robotic manipulators for real-world applications in manufacturing, medical robotics, and autonomous systems. Whether you're developing a robotic arm or researching advanced control techniques, this course provides the knowledge and tools needed for success.