Project Information
Students will work individually and in groups to implement an autonomous greenhouse agent. The agent will be built up through nine assignments and deployed on our greenhouse architecture once a month. Students will submit write-ups about their algorithm choices and implementation to be graded in simulation and through a real world deployment. Deployments will also include a graded presentation and written report evaluating the deployment of the agent after the grow periods. Assignments will be submitted following the instructions on Canvas.
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RELEASED |
DUE DATE |
DESCRIPTION |
A1 |
09/02 |
09/09 |
Agent Architectures |
A2 |
09/09 |
09/16 |
ROS Implementation |
A3 |
09/16 |
09/23 |
Finite State Machines |
A4 (Group) |
09/23 |
10/07 |
Computer Vision |
GROW PERIOD A tests Assignments 1, 2, 3, 4 |
A5 |
10/07 |
10/14 |
Sensor Modeling |
A6 |
10/21 |
10/28 |
Explanations |
A7 (Group) |
10/28 |
11/11 |
Execution Monitoring |
GROW PERIOD B tests Assignments 5, 6, 7 |
A8 |
11/11 |
11/18 |
Scheduling |
A9 (Group) |
11/18 |
12/09 |
Resource Optimization |