Schedule (F2020)

• Mon. 08/31. Introduction. Common sensing approaches.
  

• Wed. 09/02. Sensing (continued). The Robot Operating System (ROS)
  Assignment: Paper request form is out - see Canvas for the link.

• Mon. 09/07. Visual Perception: Pinhole Camera Model.
  Video Assignment: Self-Driving Cars Of The Near Future by Raquel Urtasun (Quiz 1 to be completed in Canvas by the start of the class)
  Programming Assignments: Assignment 1 is published.

• Wed. 09/09. Visual Perception: Pinhole Camera Model (continued), Stereo, Active Depth Sensing.
  

• Mon. 09/14. Pose Estimation and On-Body Interactions. (student presentations)
  Readings: ViBand.
  Assignments: Assignment 1 is due. Assignment 2 out.

• Wed. 09/16. Recursive State Estimation (part 1, Kalman Filters).
  Video Assignment: Probability recap (Quiz 2 to be completed in Canvas by the start of class).
  

• Mon. 09/21. Recursive State Estimation (part 2, Particle Filters).
  

• Wed. 09/23. Recursive State Estimation: Applications. (student presentations)
  Readings: Detecting Moving Objects using a Single Camera on a Mobile Robot.
  Assignments: Assignment 2 due. Assignment 3 out.

• Mon. 09/28. Recursive State Estimation (continued) and Function Approximation via Feed-Forward Neural Networks (NN). (student presentations)
  Readings: AnglePose.
  

• Wed. 09/30. Function Approximation: Convolutional and Recurrent NN.
  Video Assignment: Ali Rahimi, “Let’s take machine learning from alchemy to electricity” (Quiz 3 to be completed in Canvas by the beginning of class).
  

• Mon. 10/05. Function Approximation: Applications. (student presentations)
  Readings: Generalized Speech Animation; Deep Appearance Models for Face Rendering.
  

• Wed. 10/07. Function Approximation: Applications. (student presentation)
  Readings: YOLO, Looking to Listen at the Cocktail Party
  Assignments: Assignment 3 due. Assignment 4 out.

• Mon. 10/12. Function Approximation: Practical Tips.
  

• Wed. 10/14. Generative Adversarial NN & Applications on Spatial Reasoning.
  

• Mon. 10/19. Sequential Decision Making: Markov Decision Processes & Imitation Learning (IL)
  Video Assignment: Planning recap(Quiz 4 to be completed in Canvas by the beginning of class).
  

• Wed. 10/21. Sequential Decision Making: IL for Autonomous Driving. (student presentations)
  Readings: Agile Autonomous Driving; Learning from Interventions.
  Assignments: Assignment 4 due.

• Mon. 10/26. Sequence Prediction Revisited. (student presentations)
  Readings: Inference Machines; Differentiable Particle Filters.
  Assignments: Assignment 5 out.

• Wed. 10/28. Sequential Decision Making: Reinforcement Learning (RL)
  Readings: [SB 2nd Ed.] Ch. 6.

• Fri. 10/30. No class. Assignment Due.
  Assignments: Project proposal due.

• Mon. 11/02. Sequential Decision Making: RL for Games (student presentations)
  Readings: DQN; Mastering the Game of Go.
  

• Wed. 11/04. Sequential Decision Making: RL in Robotics. (student presentations)
  Readings: Making Sense of Vision and Touch, Learning hand-eye coordination for robotic grasping (pre-recorded video should be watched by next Monday).

• Mon. 11/09. Sequential Decision Making: Inverse Reinforcement Learning (IRL).
  Assignments: Assignment 5 due.

• Wed. 11/11. Sequential Decision Making: IRL Applications. (student presentations)
  Video Assignment: Emma Brunskill at the 2019 Human-Centered AI Symposium (Quiz 5 to be completed in Canvas by the beginning of class).
  Readings: Probabilistic Pointing Target Prediction; Generative Adversarial Imitation Learning.

• Mon. 11/16. Invited Lecture: James Kennedy (Disney Research)

• Wed. 11/18. Invited Lecture: Sean Andrist (Microsoft Research)
  Assignments: Project milestone due.

• Mon. 11/23. No class (November Recess)

• Wed. 11/25. No class (November Recess)

• Mon. 11/30. Final Project Presentations.
  

• Wed. 12/02. Final Project Presentations (continued).
  

• Mon. 12/09. No class. Just an assignment due date.
  Assignments: Final project reports, videos & supplementary are due.