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Robotics Foundations: Robot Modeling Fundamentals

Master the essential concepts of robot modeling, from kinematics to dynamics, in this comprehensive engineering course.

Master the essential concepts of robot modeling, from kinematics to dynamics, in this comprehensive engineering course.

This foundational robotics course explores the intelligent connection between perception and action in robotic systems. Students learn advanced concepts in robot modeling, focusing on manipulator kinematics using the Denavit-Hartenberg convention and homogeneous transformations. The curriculum covers inverse kinematics, Jacobian analysis, singular configurations, redundancy, and dynamic modeling using both Lagrange and Newton-Euler formulations. Through systematic study of mechanics, electronics, and mathematical modeling, participants gain expertise in industrial and service robotics applications.

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Robotics Foundations: Robot Modeling Fundamentals

This course includes

8 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

4,690

Audit For Free

What you'll learn

  • Master the fundamentals of robot manipulator kinematics

  • Understand and apply the Denavit-Hartenberg convention

  • Analyze inverse kinematics problems and find closed-form solutions

  • Utilize Jacobian matrix for differential kinematics analysis

  • Develop dynamic models using Lagrange and Newton-Euler methods

  • Simulate robot motion and synthesize control algorithms

Skills you'll gain

Robot Modeling
Kinematics
Dynamic Systems
Control Engineering
Mathematical Modeling
Industrial Robotics
Motion Simulation
Mechanical Engineering

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This comprehensive course covers fundamental principles of robot modeling, focusing on the intersection of mechanics, electronics, signal processing, and control engineering. Students learn systematic approaches to kinematics using the Denavit-Hartenberg convention, explore inverse kinematics solutions, and master the Jacobian matrix applications. The curriculum extends to dynamic modeling using both Lagrange and Newton-Euler formulations, providing essential knowledge for motion simulation and control algorithm development.

Fee Structure

Instructor

Pioneering Robotics Scholar and International Research Leader

Bruno Siciliano is Professor of Control and Robotics, Director of the Interdepartmental Center for Advanced Robotics in Surgery (ICAROS), and Coordinator of the PRISMA Lab at the Department of Electrical Engineering and Information Technology at the University of Naples Federico II. His research interests in robotics include manipulation and control, human-robot cooperation, and service robotics. He has co-authored 14 books, 100 journal papers, and 270 conference papers/book chapters. His textbook "Robotics: Modeling, Planning and Control" is one of the most widely adopted worldwide and has been translated into Chinese, Greek, and Italian. He has delivered more than 150 invited lectures and seminars at institutions worldwide and has received numerous awards. He is a Fellow of IEEE, ASME, and IFAC. He serves as co-editor of the Springer Tracts in Advanced Robotics and Springer Proceedings in Advanced Robotics series, and has served on editorial boards of several journals and as chair or co-chair for numerous international conferences. He co-edited the Springer Handbook of Robotics, which received the AAP PROSE Award for Excellence in Physical Sciences & Mathematics and won in the Engineering & Technology category. His research group has secured twenty European projects, including an Advanced Grant from the European Research Council. He has served in the IEEE Robotics and Automation Society as President, Vice-President for Technical Activities and Publications, AdCom member, and Distinguished Lecturer. Professor Siciliano currently serves as a Board Director of the European Robotics Association.

Robotics Foundations: Robot Modeling Fundamentals

This course includes

8 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

4,690

Audit For Free

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.