- Platform
- edX
- Provider
- University of Pennsylvania
- Effort
- 8 to 10 hours per week
- Length
- 12 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Part of
-
MicroMasters Program: Robotics
- Course Link
Overview
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.
What you'll learn
Taught by
Vijay Kumar
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.
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
Syllabus
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
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
Taught by
Vijay Kumar