| 57 | |
| 58 | == Week 5 Activities == |
| 59 | |
| 60 | * Finish Gazebo tutorial |
| 61 | - Learned how to record and playback simulations, apply force and/or torque to models, connect to Player, use physics engines to achieved desired behavior, etc. |
| 62 | * Access Gazebo code from previous year's GitLab repository |
| 63 | - Look over algorithms and simulations built for vehicles with Ackermann steering |
| 64 | * [https://docs.google.com/presentation/d/1WYysF7vQmwatsnNa1SdJIfFCdX3fW8xtgVgws69wA-M/edit?usp=sharing Week 5 Presentation] |
| 65 | |
| 66 | == Week 6 Activities == |
| 67 | |
| 68 | * Visit WINLAB |
| 69 | - Examine physical model's hardware and compare with previous rigid steering models |
| 70 | * Create catkin workspace and control Gazebo robot through terminal commands |
| 71 | * Test different neural network architectures to maximize steer prediction accuracy |
| 72 | * [https://docs.google.com/presentation/d/19DkfsdHMdiDMiXFo6V_-7kE71wnHfAOk8LTcMSl4gCo/edit?usp=sharing Week 6 Presentation] |