Name: Prof. Aaron M. Johnson E-Mail: amj1@cmu.edu Office location: Scaife B08 Office hours: TBD
Course Description
This course covers the dynamics of robotic systems with a focus on the mathematical structure of the dynamics and numerical analysis. Topics will start by reintroducing basic kinematics and dynamics in a more formal mathematical framework before moving on to contact conditions, friction, terramechanics, hybrid dynamical systems, timestepping simulation, and contact invariant optimization. After the course students will be able to write simulation and optimization methods for analyzing robotic systems. Students should have taken a prior course in dynamics, and be comfortable with linear algebra, multivariable calculus, and programming in Matlab.
Prerequisites
24-351 Dynamics OR 16-711 Kinematics, Dynamic Systems, and Control (or equivalent)
Comfortable programming in Matlab
Linear algebra, multivariable calculus, and differential equations
Learning Objectives
Increase formal understanding of rigid-body dynamics with contact.
Implement simulation and optimization algorithms to analyze robotic systems.
Read and understand technical articles on mechanics and robotic systems.
Ability to apply mathematics and engineering principles to solve problems found in robot design, control, and analysis.
Ability to disseminate engineering work to a broad professional community via written communication.
Textbook
No textbook is required for this class. Readings will be posted online and many will come from:
R. M. Murray, Z. Li, and S. S. Sastry. A Mathematical Introduction to Robotic Manipulation. Boca Raton, FL: CRC Press, 1994. PDF.
A. M. Johnson, S. A. Burden, and D. E. Koditschek, "A hybrid systems model for simple manipulation and self-manipulation systems", The International Journal of Robotics Research, vol. 35, pp. 1354, 2016. PDF.
A. M. Johnson. Advanced Robot Dynamics. Online Textbook, 2021-- . Info
Assessments
The final course grade will be calculated using the following categories:
Assessment
Percentage of Final Grade
Homeworks
60
Exams
40
Lecture Topics
Preliminary list of class topics (see Canvas for detailed schedule, readings, etc):