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Robot Dynamics
Last Updated: 2026-06-01 11:30:53
Abstract
We will provide an overview on how to kinematically and dynamically model typical robotic systems such as robot arms, legged robots, rotary wing systems, or fixed wing.
Objective
The primary objective of this course is that the student deepens an applied understanding of how to model the most common robotic systems. The student receives a solid background in kinematics, dynamics, and rotations of multi-body systems. On the basis of state of the art applications, he/she will learn all necessary tools to work in the field of design or control of robotic systems.
Content
The course consists of three parts: First, we will refresh and deepen the student's knowledge in kinematics, dynamics, and rotations of multi-body systems. In this context, the learning material will build upon the courses for mechanics and dynamics available at ETH, with the particular focus on their application to robotic systems. The goal is to foster the conceptual understanding of similarities and differences among the various types of robots. In the second part, we will apply the learned material to classical robotic arms as well as legged systems and discuss kinematic constraints and interaction forces. In the third part, focus is put on modeling fixed wing aircraft, along with related design and control concepts. In this context, we also touch aerodynamics and flight mechanics to an extent typically required in robotics. The last part finally covers different helicopter types, with a focus on quadrotors and the coaxial configuration which we see today in many UAV applications. Case studies on all main topics provide the link to real applications and to the state of the art in robotics.
Resources
Learning Materials (Links)
- Main link
- Lecture Slides
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- 4 A4-pages personal summary + calculator
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Robot Dynamics |
|
2 h weekly |
| exercise | Robot Dynamics |
|
2 h weekly |
Offered In
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Robotik (Höchstens eine der beiden Lerneinheiten 263-5902-00L Computer Vision bzw. 227-0447-00L Image Analysis and Computer Vision darf an das gesamte Studium (RW BSc und MSc) angerechnet werden. Höchstens eine der beiden Lerneinheiten 263-5210-00L Probabilistic Artificial Intelligence bzw. 252-0535-00L Advanced Machine Learning darf im Vertiefungsgebiet "Robotik" an das gesamte Studium (RW BSc und MSc) angerechnet werden. Eine Anrechnung der anderen Lerneinheit in einer anderen Kategorie ist jedoch zulässig.)
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Robotics, Systems and Control (Fokus-Koordinator: Prof. Robert Katzschmann)
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Robotik (Höchstens eine der beiden Lerneinheiten 263-5902-00L Computer Vision bzw. 227-0447-00L Image Analysis and Computer Vision darf an das gesamte Studium (RW BSc und MSc) angerechnet werden. Höchstens eine der beiden Lerneinheiten 263-5210-00L Probabilistic Artificial Intelligence bzw. 252-0535-00L Advanced Machine Learning darf im Vertiefungsgebiet "Robotik" an das gesamte Studium (RW BSc und MSc) angerechnet werden. Eine Anrechnung der anderen Lerneinheit in einer anderen Kategorie ist jedoch zulässig.)
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Fachspezifische Vertiefung (Es müssen mindestens 20 KP aus den Deep Track Lerneinheiten absolviert werden. Überzählige KP können für Wahlfächer angerechnet werden.)
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Vertiefungsfächer Robotics (Diese LE's können sowohl als Vertiefungsfach als auch als Wahlfach angerechnet werden.)
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