|
Date
|
Topic
|
Assignment Due
|
|
8/22
|
First day of class
|
|
|
8/24
|
Control Architectures (online lecture, no in-class meeting)
|
1) Read pages 3-7 (Introduction) in the Quigley+ book
2) By 11:59pm on 8/25, answer the "Introductions" questions on Piazza
3) There will be a brief quiz on the Control Architectures lecture in class on 8/29.
|
|
8/29
| Perception
|
|
|
8/31
| Sensors (Appologies - not sure what happened to the audio)
| Lab 1 due by 6pm on 9/1
|
|
9/5
| Range Finders,
get started on Lab 2 in class
|
|
|
9/7
| Walk & Roll
| Lab 2 due by 6pm on 9/8
|
|
9/12
| Kinematics 1, Problem 1 Answer
|
|
|
9/14
| Manipulators
| Please read the 10 pages of "Kinematics reading" on learn.wsu.edu.
By Wedensday at 11:59pm, post at least one comment/question to piazza related to kinematics and/or the reading.
|
|
9/19
| Search and simple planning
|
|
|
9/21
| Discretizing a map
| Kinematics homework due by 6pm, Friday the 22nd.
|
|
9/26
| Localization
|
|
|
9/28
| Localization and Movement
| Lab 3 due by 6pm, Friday the 29th.
|
|
10/3
| No class: Career Fair
|
|
|
10/5
| Probabilistic Localization
|
|
|
10/10
| Review for midterm and start lab 4
|
|
|
10/12
| Midterm
|
|
|
10/17
| SLAM, Part 1
|
|
|
10/19
| No class - finish up lab 4 and watch on-line lecture for next Tuesday
| Lab 4 due by 6pm, Friday 10/20.
|
|
10/24
| Kalman Filter review
| Homework #2:
Watch (Extended) Kalman Filter (Slides are here).
Watch EKF SLAM (Slides are here).
On Piazza, write 1) At least 2 paragraphs describing what these lectures are about and 2) Questions you had during the lectures. Please post this info by 11:59pm, Monday the 23rd.
|
|
10/26
| SLAM: Lab 5
|
|
|
10/31
| Discussion on the future of robotics
| Submit project proposal on blackboard by Monday, 11:59pm:
Group members
Goal of the project
Success conditions
|
|
11/2
| Learning and Optimization
| Submit Lab 5 by 6pm, Friday 11/3.
|
|
11/7
| HRI and Learning from Humans
|
|
|
11/9
| Guest Lecture: Robots for Agriculture
|
|
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11/14
| Reinforcement Learning
|
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11/16
| Guest Lecture: Deep Learning
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|
11/21
| Thanksgiving
|
|
|
11/23
| Thanksgiving
|
|
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11/28
| Work on final project
|
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11/30
| Work on final project
|
|
|
12/5
| Guest lecture, Dr. Kshitij Jerath
|
|
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12/7
| Guest lecture, Dr. John Swensen
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12/13
| Wednesday, 8am: Robotics Final Project Presentations
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