Robotics: Dynamics and Control
About this courseSkip About this course
Flying drones or robot manipulators accomplish heavy-duty tasks that deal with considerable forces and torques not covered by a purely robot kinematics framework. Learn how to formulate dynamics problems and design appropriate control laws.
In this course, part of the Robotics MicroMasters program, you will learn how to develop dynamic models of robot manipulators, mobile robots, and drones (quadrotors), and how to design intelligent controls for robotic systems that can grasp and manipulate objects.
We will cover robot dynamics, trajectory generation, motion planning, and nonlinear control, and develop real-time planning and control software modules for robotic systems. This course will give you the basic theoretical tools and enable you to design control algorithms.
Using MATLAB, you will apply what you have learned through a series of projects involving real-world robotic systems.
At a glance
- Institution: PennX
- Subject: Computer Science
- Level: Advanced
Good working knowledge of the following undergraduate subjects is required:
- Linear algebra
- Rigid body dynamics
- Multivariable calculus
- Ordinary differential equations
The knowledge of basic computer science data structures such as graphs, link lists, etc. is preferred, but students may also choose to learn these skills on their own. The class projects will also require knowledge of MATLAB and programming in C or C++.
- Language: English
- Video Transcript: English
What you'll learnSkip What you'll learn
- The dynamics of robot arms, mobile robots and quadrotors
- Position and force control for robots
- How to generate complex trajectories
- The basics of configuration spaces for robotic systems
- Controller synthesis and stability
Week 1: Introduction and Course Overview
Week 2: Rigid Body Dynamics
Week 3: Dynamics of Robot Arms
Week 4: Project #1: Modeling of a Robot Arm
Week 5: Introduction to Linear Control
Week 6: State Space Modeling and Multivariable Systems
Week 7: Nonlinear Control
Week 8: Stability Theory
Week 9: Project #2: Control and Trajectory Following for a Mobile Robot
Week 10: Quadrotor Control
Week 11: Trajectory Generation
Week 12: Project #3: Planning and Control of a Quadrotor