AA 273: State Estimation and Filtering for Robotic Perception
Experimenting with different descent methods for the Extended Kalman Filter
(Joint project with AA 222)
CS 361 / AA 222: Algorithms for Optimization
Applying genetic algorithms to Kalman filters with unknown dynamics
(Joint project with AA 273)
CS 229: Machine Learning
Predicting COVID case numbers based on Google trends data
CS 238 / AA 228: Decision Making Under Uncertainty
Applying reinforcement learning to fantasy football
CS 237A/B / AA 274A/B: Principles of Robot Autonomy
Fall quarter: Autonomous search + rescue mission in simulation. (SLAM, A*, state machines, ROS/RViz/Gazebo)
Winter quarter: Reinforcement learning, computer vision, grasp planning, imitation learning, logic
Other excellent courses that don’t have final projects:
- EE 263: Linear Dynamical Systems
- EE 364A: Convex Optimization
- ME 320: Robotics
- CS 221: AI
- ENGR 205: Controls