Guest Lecture: Charlie Squires
(Fri Oct 18, lecture 13)
Electronics, Kinematics, Kalman Filters
Homework due for today
Legend: : Participation (pass/fail) | : PDF | : Team | : Attachment
- Read and Do Read PRR Chapter 10. PLEASE remember to refer to this (10 part1: Localizing in parallel and use the code I provided!). There’s not a lot of code to write, but I would like you to actually run all the examples and try to understand what is going on. With that, answer the following questions about TF2:
- Why is it important to get a good initial localization? Why is that needed at all? Could AMCL work without it?
- This one is a little tricky. When I am using AMCL and move_base, can I use teleop to cause the robot to crash into the wall. Give your reasoning! You might need to try this to get a good answer. It will be a very interesting experiment.
- Please write one or two things that are still confusing to you; if it’s all clear, then please write one or two major takeaways.
Deliverable: Your responses to the above questions, in brief, in a pdf with your name and homework number at the top.
Guest Lecturer: Charlie Squires
The attached zip file contains two powerpoint decks that will be used today.
- Real time systems and Noise
- What is Noise
- How to mitigate noise
- Averaging Filters
- Kalman Filters
- Basic concepts of electricity using a Water Analog
- Robotics, ROS and getting a job