Course Description

Robotics Foundations: Modeling and Control is an intermediate-level engineering course offered by FedericaX that delves into the fascinating world of robotics. This comprehensive course explores the intricate connection between perception and action in robotic systems, covering a wide range of topics from mechanics and electronics to signal processing and mathematical modeling. The course is divided into two parts, with the first part focusing on robot modeling.

Students will learn:

• The fundamentals of kinematics, differential kinematics, and statics in robotics
• Advanced concepts in industrial robotics and cutting-edge applications in field and service robots
• Systematic approaches to robot manipulator kinematics using the Denavit-Hartenberg convention and homogeneous transformations
• Inverse kinematics problem-solving and closed-form solutions for typical manipulation structures
• The Jacobian and its properties as a fundamental tool in robotics
• Equations of motion for robotic systems using Lagrange and Newton-Euler formulations

Prerequisites or skills necessary:

While the course is listed as having no specific prerequisites, a strong background in mathematics, physics, and basic engineering principles would be beneficial. Familiarity with concepts in mechanics, electronics, and control systems would also be advantageous.

The course will cover:

• Introduction to robotics and its applications
• Kinematics of robot manipulators
• Denavit-Hartenberg convention and homogeneous transformations
• Inverse kinematics problem and solutions
• The Jacobian and its applications in robotics
• Differential kinematics and singularity analysis
• Redundancy in robotic systems
• Statics modeling for robots
• Dynamic modeling using Lagrange formulation
• Dynamic modeling using Newton-Euler formulation
• Motion simulation and control algorithm synthesis

Who this course is for:

This course is ideal for engineering students, robotics enthusiasts, and professionals looking to enhance their knowledge in the field of robotics. It caters to those interested in industrial robotics as well as advanced applications in field and service robots. The course is particularly suitable for individuals pursuing careers in robotics engineering, automation, and control systems.

How learners can use these skills in the real world:

The skills acquired in this course have numerous practical applications in the real world. Graduates can apply their knowledge to:

• Design and optimize industrial robotic systems for manufacturing and automation
• Develop advanced field and service robots for various applications, such as search and rescue, exploration, or healthcare
• Create more efficient and precise control algorithms for robotic systems
• Analyze and improve existing robotic systems' performance
• Contribute to cutting-edge research in robotics and related fields
• Solve complex problems in robotics-related industries, such as aerospace, automotive, and medical devices
• Collaborate on interdisciplinary projects involving robotics, AI, and automation

By mastering the foundations of robotics modeling and control, learners will be well-equipped to tackle the challenges of this rapidly evolving field and contribute to innovative solutions that shape the future of technology and industry.