| 1 (TR) |
Class intro, T-matrices and Data Types |
Lab 1, Artemis, Make and share your Github page |
| 2 (TR) |
Sensors (TOF, proximity, encoders) , Sensor fusion and IMU |
Lab 1, Artemis, continued |
| 3 (TR) |
Circuits and routing, EMI, Batteries and Actuators |
Lab 2, IMU |
| 4 (TR) |
PID control, PID continued |
Lab 3, ToF |
| 5 (R) |
Linear systems |
No Lab |
| 6 (TR) |
Controllability,Controllability, cont |
Lab 4, Motor driver and open loop control |
| 7 (TR) |
Probability, Bayes theorem, Observability/LQG/KF, |
Lab 5, Linear PID control and Linear interpolation |
| 8 (TR) |
Path Planning (local), Map representations, PRM, RRT |
Lab 6, Orientation PID control |
| 9 (TR) |
Graph search, Markov models, Bayes filter I |
Lab 7, Kalman Filter |
| 10 (TR) |
Motion models, Sensor models |
Lab 8, Stunts |
| 11 ( ) |
Spring break |
No lab |
| 12 (TR) |
Bayes filter II, In-class simulator setup |
Lab 9, Mapping (real) |
| 13 (TR) |
Particle Filters and SLAM |
Lab 10, Localization (sim) |
| 14 (TR) |
Ethics Week |
Lab 11, Localization (real) |
| 15 (TR) |
Olaf van Bruggen (ASML), Trivia |
Lab 12, Planning and execution (real) |
| 16 (T) |
Final Showcase |
See google calendar for open hours over Finals |