Charlie loves Robots and I think having him attend a class to learn how to design them would be so much fun. Also, it would be something Charlie would enjoy and David could do with him. If the class was online. I wanted to share with you a RoboCamp I found this class by searching online. If it doesn’t work out, I will keep looking as I know there might be other classes I can find for Charlie to take. So can you if you take the time to search for the classes online. As I was online, I found a list of places for Charlie and I to check out. So, I thought I would share these Homeschool Resource Robotics Classes with you.
PROGRAM YOUR FIRST ROBOT
Robotics in every school? Easy as a pie! Learn how to organize a robotics workshop in your school, step-by-step.
In the webinar, you will learn:
- the cheapest and most effective methods to organize a robotics workshop;
- how to choose the right equipment: we’ll discuss pros and cons of various solutions in terms of: students’ age, abilities and your overall budget;
- everything you need to know before you start teaching robotics to your class;
- where to find new lesson ideas.
Participation in the webinar is free of charge. We cordially invite all primary and middle school teachers and educators. The number or participants is limited.
AMRx: Autonomous Mobile Robots
ETH Zurich via edX
Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments.
Go To Class | ★★★☆☆ (3 ratings) | Next Session: Self-paced
AUTONAVx: Autonomous Navigation for Flying Robots
Technische Universität München (Technical University of Munich) via edX
In this course, we will introduce the basic concepts for autonomous navigation for quadrotors. The following topics will be covered: 3D geometry, probabilistic state estimation, visual odometry, SLAM, 3D mapping, linear control. In particular, you will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.
Go To Class | ★★★★★ (9 ratings) | Next Session: Self-paced (Archived)
6.302.0x: Introduction to Feedback Control Theory
Massachusetts Institute of Technology via edX
Have you wondered about the design strategies behind temperature controllers, quad-copters, or self-balancing scooters? Are you interested in robotics, and have heard of, or tried, “line-following” or “PID control” and want to understand more?
Go To Class | Next Session: Self-paced
6.832x: Underactuated Robotics
Massachusetts Institute of Technology via edX
Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course introduces nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on computational methods.
Go To Class | ★★★★☆ (1 rating) | Next Session: Self-paced (Archived)
Stanford University via Udacity
Learn how to program all the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.
Go To Class | ★★★★★ (1 rating) | Next Session: Self-paced
Thank you,
Glenda, Charlie and David Cates
